CN112774079B - Rope skipping health risk assessment method and device - Google Patents
Rope skipping health risk assessment method and device Download PDFInfo
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Abstract
The invention relates to a Chinese traditional jumpThe rope skipping health risk assessment method based on rope skipping movement posture assessment comprises the following steps that the number [ n ] of data points of each circle in m rope skipping tested circles is counted1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance scores of the user, acquiring weights w1, w2, w3, w4 and w5 corresponding to the action, coordination, stability, rhythm and endurance 5 scores according to historical data labeled by experts, and acquiring correlation weights r of the action, coordination, stability, rhythm and endurance 5 scores and an N risk listi,j,ri,jAnd expressing the correlation between the ith score and the jth course, so as to calculate the total score of all health risks, and enable a user to know that the self rope skipping posture can cause the health risks, thereby purposefully correcting the self rope skipping posture and reducing the risk of injury during exercise.
Description
Technical Field
The invention relates to the field of rope skipping data processing, in particular to a rope skipping health risk assessment method and device.
Background
The skipping rope is an effective aerobic exercise, has a lot of benefits to human bodies, can burn heat well, and is an effective exercise for losing weight and reducing fat.
However, as a fitness exercise, it is inevitable to cause exercise injuries during exercise, and exercise injuries caused by different rope skipping postures are different, for example, rapid rope skipping with the toe on the ground causes exercise injuries at the ankle and knee position and with the heel on the ground, and insufficient coordination causes cartilage injuries at the knee joint, and exercise injuries at the wrist and elbow joint due to too large movement range of the wrist or arm. The existing rope skipping handle has a single function, and cannot inform a user of health risks caused by the movement posture of a rope skipping person, so that the user can be injured when the user does not move in a correct posture and the rope skipping posture of the user is not clear.
The above problems are at present to be solved.
Disclosure of Invention
The invention aims to provide a rope skipping health risk assessment method and device.
In order to solve the technical problem, the invention provides a rope skipping health risk assessment method based on rope skipping movement posture assessment, which comprises the following steps:
acquiring Hall sensor signal data and six-axis gyroscope data during continuous rope skipping movement through a gyroscope and a Hall sensor;
obtaining the total number M of turns of a rope skipping detected circle according to the Hall sensor signal, and analyzing the data of the six-axis gyroscope of each circle according to the Hall sensor signal;
screening out effective number m of turns according to the data of the six-axis gyroscope of each turn;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user;
acquiring weights w1, w2, w3, w4 and w5 corresponding to 5 scores of actions, coordination, stability, rhythm and endurance;
obtaining the correlation weight r of 5 scores of action, coordination, stability, rhythm and endurance and the N risk listi,j,ri,jRepresenting the relevance of the ith score to the jth lesson;
All health risks are sorted from small to large according to joint relevance scores, and the top k are returned as health risks.
Further, the method for screening out the effective number of turns m according to the six-axis gyroscope data of each turn comprises the following steps:
calculating the sine curves of X, Y, Z, pitch, yaw five directions of the tested circle of the rope skipping by numerical calculation;
calculating the error between the sine curve of the rope skipping detected ring and the six-axis gyroscope data of the ring;
judging whether the detected loop of the skipping rope is bad or not through errors, namely, judging that the loop is a good loop when the total error is smaller than a preset threshold value p and judging that the loop is a bad loop when the total error is larger than or equal to p;
and deleting the data of the number of the bad turns in the measured loops of the M skipping ropes, thereby screening out the number of the effective turns M.
Further, the calculation method of the action score comprises
Calculating the motion amplitude of the arm according to the X, Z two-direction sine curves of each rope skipping detected ring;
calculating the wrist movement amplitude according to the sine curves of pitch and yaw of each measured rope skipping loop in two directions;
respectively substituting the arm motion amplitude and the wrist motion amplitude into corresponding preset judgment intervals, thereby obtaining an arm motion amplitude score and a wrist motion amplitude score of each rope skipping detected ring;
and calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores of the m rope skipping detected rings, and calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores, namely the final rope skipping action score.
Further, the calculation method of the harmony score includes:
calculating the phase difference of the sine curves of the rope skipping detected rings in the X and Z directions;
judging the coordination score of each rope skipping detected circle through the phase difference;
and calculating the average value of the harmony scores of the m rope skipping detected rings, namely the final overall harmony score.
Further, the method for calculating the stability score includes:
calculating the integral horizontal movement of the rope skipping detected ring through the movement amplitudes of each rope skipping detected ring in the X direction and the Y direction;
and calculating the average value of the integral horizontal movement integrals of the m rope skipping detected rings, and bringing the average value into a preset judgment interval to obtain the rope skipping horizontal movement stability score.
Further, the calculation method of the tempo score includes:
circularly calculating variance [ var ] of data points of every continuous 5 circles1,var2,var3,…,varm-4];
Setting a threshold value d, and calculating the proportion r of the variance number of which the variance is larger than d in every continuous 5 circles to all the variances;
and substituting the proportion r into the corresponding judgment interval to determine the rhythm score.
Further, the endurance score is calculated by the method comprising the following steps:
acquiring time for jumping m circles;
calculating the average speed s of m jump circles;
and substituting the average speed s into the corresponding judgment interval to determine the endurance score.
The invention also provides a rope skipping health risk assessment device based on rope skipping motion posture assessment, which comprises: the data acquisition module is suitable for acquiring Hall sensor signal data and six-axis gyroscope data during continuous rope skipping movement through the gyroscope and the Hall sensor;
the data processing module is suitable for obtaining the total number M of turns of a rope skipping detected loop according to signals of the Hall sensors and obtaining six-axis gyroscope data of each turn according to the signals of the Hall sensors;
the number of turns screening module is suitable for screening out effective number of turns m according to the data of the six-axis gyroscope of each turn;
a score calculating module suitable for counting the number [ n ] of data points of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user;
the weight acquisition module is suitable for acquiring weights w1, w2, w3, w4 and w5 corresponding to the scores of 5 items of action, coordination, stability, rhythm and endurance;
a correlation weight acquisition module which is suitable for acquiring the correlation weight r of 5 scores of action, coordination, stability, rhythm and endurance and the N risk listi,j,ri,jRepresenting the relevance of the ith score to the jth lesson;
a joint relevance score calculation module for calculating joint relevance scores of each health risk
And the health risk early warning module is suitable for sequencing all the health risks from small to large according to the joint relevance scores and returning the first k health risks as the health risks.
The invention also provides a computer-readable storage medium, wherein one or more instructions are stored in the computer-readable storage medium, and when executed by a processor, the one or more instructions implement the rope skipping health risk assessment method based on rope skipping movement posture assessment according to any one of claims 1-8.
The present invention provides an electronic device, including: a memory and a processor; at least one program instruction is stored in the memory; the processor is used for realizing the rope skipping health risk assessment method based on rope skipping movement posture assessment by loading and executing the at least one program instruction.
The invention has the beneficial effects that the invention provides a rope skipping health risk assessment method and a rope skipping health risk assessment device, wherein the rope skipping health risk assessment method based on rope skipping movement posture assessment counts n data points in each circle of m rope skipping tested circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance scores of the user, acquiring weights w1, w2, w3, w4 and w5 corresponding to the action, coordination, stability, rhythm and endurance 5 scores according to historical data labeled by experts, and acquiring correlation weights r of the action, coordination, stability, rhythm and endurance 5 scores and an N risk listi,j,ri,jAnd expressing the correlation between the ith score and the jth course, so as to calculate the total score of all health risks, and enable a user to know that the self rope skipping posture can cause the health risks, thereby purposefully correcting the self rope skipping posture and reducing the risk of injury during exercise.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a flowchart of a rope skipping health risk assessment method based on rope skipping movement posture assessment according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a rope skipping health risk assessment device based on rope skipping movement posture assessment according to an embodiment of the present invention.
Fig. 3 is a partial functional block diagram of an electronic device provided by an embodiment of the invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic views illustrating only the basic structure of the present invention in a schematic manner, and thus show only the constitution related to the present invention.
Example 1
As shown in fig. 1, this embodiment 1 provides a rope skipping health risk assessment method based on rope skipping movement posture assessment, which includes counting [ n ] data points in each circle of m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance scores of the user, acquiring weights w1, w2, w3, w4 and w5 corresponding to the action, coordination, stability, rhythm and endurance 5 scores according to historical data labeled by experts, and acquiring correlation weights r of the action, coordination, stability, rhythm and endurance 5 scores and an N risk listi,j,ri,jAnd expressing the correlation between the ith score and the jth course, so as to calculate the total score of all health risks, and enable a user to know that the self rope skipping posture can cause the health risks, thereby purposefully correcting the self rope skipping posture and reducing the risk of injury during exercise.
Specifically, the rope skipping health risk assessment method based on rope skipping movement posture assessment comprises the following steps:
s110: hall sensor signal data and six-axis gyroscope data are obtained through the gyroscope and the Hall sensor when the rope skipping continuously moves.
Specifically, the gyroscope and the hall sensor are disposed within the handle for detecting hall sensor signals and six-axis gyroscope data.
S120: and obtaining the total number M of turns of the rope skipping detected circle according to the Hall sensor signal, and analyzing the data of the six-axis gyroscope of each turn according to the Hall sensor signal.
Specifically, data of the corresponding six-axis gyroscope is judged by a Hall sensor signal when the rotating head of the handle rotates for one circle.
S130: and screening out effective turns m according to the six-axis gyroscope data of each turn.
Specifically, step S130 includes the steps of:
s131: the X, Y, Z, pitch, yaw five-direction sine curve fitting the tested circle of the skipping rope is calculated through numerical calculation.
Specifically, the method for fitting the sine curve of the rope skipping detected circle in the X direction through numerical calculation comprises the following steps:
acquiring n data samples of six-axis gyroscope data in the X direction, and setting the mean value of the n data samples to zero, namely, the n data samples are vx,vx=[v1,v2,v3,…,vn](ii) a After zero settingWherein v isnewRepresenting the zeroed data samples, vxiRepresenting data samples vxThe ith sample data in (1).
Let the fitted curve in the X direction be f (X) ax*sin(bxx+cx);
Calculating n data samples of six-axis gyroscope data in X direction, and calculating parameter ax、bx、cxThereby obtaining a formula of a fitted curve in the X direction.
Where t represents the time of the turn,wherein n is the time taken by the loop, and f represents the sampling frequency of n data samples;
calculating vnewArea enclosed by curve y-0By sinusoidal natureIn the calculation, the calculation is carried out,
computingCorresponding toAnd from all w1~wnThe maximum value of the two is recorded as wjThe sinusoidal property is calculated, through the sinusoidal property,
the fitting method of the sinusoids in the remaining Y, Z, pitch, yaw four directions is the same as the fitting method of the sinusoids in the X direction.
S132: and calculating the error between the sine curve of the rope skipping detected ring and the six-axis gyroscope data of the ring.
Specifically, the method for calculating the error between the sine curve of the rope skipping detected circle and the six-axis gyroscope data of the circle comprises the following steps:
calculating the error in the X directionx;
Specifically, the predicted value of each acquisition point is calculated by the formula of the sinusoid in the X directionCalculating a primary errorAnd second order error Calculating the error in the X direction
Calculating the Y-direction errorY;
Specifically, the same principle as the X-direction error calculation method.
Calculating Z-direction errorZ;
Specifically, the same is true for the Z-direction error calculation method.
And the errors in the X, Y, Z three directions are summed to obtain the total error which is equal to errorX+errorY+errorZ。
S133: and judging whether the detected rope skipping loop is bad or not through the error, namely, when the total error is smaller than a preset threshold value p, the detected rope skipping loop is a good loop, and when the total error is larger than or equal to the preset threshold value p, the detected rope skipping loop is a bad loop, wherein the threshold value p is set according to the highest error of the loop skipped by the rope skipping in the historical database.
S134: and deleting the data of the number of the bad turns in the measured loops of the M skipping ropes, thereby screening out the number of the effective turns M.
Specifically, the error of each rope skipping detected circle in the M rope skipping detected circles is calculated, the error of each rope skipping detected circle is judged, and the number of bad circles in the M rope skipping detected circles is deleted, so that the number of effective circles M is screened out.
S140: according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user;
specifically, step S140 includes the steps of:
s141: the calculation method of the action score comprises the following steps:
s1412: calculating the motion amplitude of the arm according to the X, Z two-direction sine curves of each rope skipping detected ring;
specifically, the arm motion amplitude is calculated according to the X, Z sine curves of the tested circle of the skipping rope in two directions, namely: the motion range of the arm of the rope skipping detected ring is
S1413: according to p of each rope skipping detected circleThe sinusoidal curves for both directions of itch, yaw calculate the wrist motion amplitude. Namely, the wrist movement amplitude is calculated according to the sine curves of pitch and yaw of the tested loop of the skipping rope, namely: the wrist movement amplitude of the tested ring of the skipping rope is
S1414: and respectively substituting the arm motion amplitude and the wrist motion amplitude into the corresponding preset judgment intervals, thereby obtaining the arm motion amplitude score and the wrist motion amplitude score of each rope skipping detected ring. Wherein the judgment interval corresponding to the arm motion amplitude is [0, pa1) 5 min; [ pa ] to1,pa2) 4, 4 minutes; [ pa ] to2,pa3) And 3 min; [ pa ] to3,pa4) And 2 min; [ pa ] to4,+∞]1, the judgment interval corresponding to the wrist motion amplitude is [0, qa1) 1, 1 min; [ qa1,qa2) And 2 min; [ qa2,qa3) And 3 min; [ qa3,qa4) 4, 4 minutes; [ qa4,+∞]And 5 points.
Wherein, the end value of the judgment interval of the arm motion amplitude, pa1-pa4The historical data labeled by the expert is obtained, for example, in the historical data labeled by the expert, when the average value of the arm movement amplitude is a, the score is 5 points, when the average value of the arm movement amplitude is b, the score is b, and then the critical value of 5 points and 4 points, pa1Is (a + b)/2, pa2-pa4Is obtained in a manner similar to pa1Similarly, the description will not be repeated here.
End value of the judgment interval of the wrist movement amplitude, qa1-qa4The specific calculation mode is the same as the calculation mode of the end value of the judgment interval of the arm motion amplitude according to the historical data labeled by the experts.
Calculating the average value of the arm motion amplitude scores and the average value of the wrist motion amplitude scores of the m rope skipping detected rings, and calculating the average value of the arm motion amplitude scores and the average value of the wrist motion amplitude scores, namely the final rope skipping action score, namely the average value of the arm motion amplitude scoresWherein, S1iRepresenting the average value of the arm movement amplitude score and the wrist movement amplitude score of the ith skipping rope detected ringWherein, S2iThe wrist movement amplitude score of the ith rope skipping detected circle is shown, and m represents the total number of the rope skipping detected circles. And calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores, namely the final rope skipping action standard degree score.
S142: the calculation method of the harmony score comprises the following steps:
s1421: and calculating the phase difference of the sine curves of the tested rings of each skipping rope in the X and Z directions.
Specifically, phase values c in the X and Z directions are obtainedXAnd cZAnd a common period b ═ b in both directionsx=bz;
S1422: and judging the coordination score of each rope skipping detected circle through the phase difference.
Specifically, the phase difference is substituted into a preset determination section to obtain a harmony score. The preset judgment interval is as follows: 1-5 points evaluation interval: [0, pb1) 5 min; [ pb)1,pb2) 4, 4 minutes; [ pb)2,pb3) And 3 min; [ pb)3,pb4) And 2 min; [ pb)4,2π]1 part of, wherein, pb1,pb2,pb3,pb4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of the phase difference of 5 points is a, the average value of the phase difference of 4 points is b, and then the critical value pb of 5 points and 4 points1=(a+b)/2。
S1423: and calculating the average value of the harmony scores of the m rope skipping detected rings, namely the final overall harmony score.
Specifically, the number of turns of all measured turns is set to be m, and finally the overall harmony score is obtainedWherein S isiAnd (4) representing the score of the tested circle of the ith skipping rope.
S143: the stability score calculation method comprises the following steps:
s1431: and calculating the integral of the overall horizontal motion of the rope skipping detected ring through the motion amplitudes of each rope skipping detected ring in the X direction and the Y direction.
Specifically, the predicted value of each data sample in the X direction of the rope skipping detected circle
Wherein v isxiShowing, the data sample of the X direction of the tested rope skipping circle,representing a predicted value corresponding to a data sample in the X direction of the rope skipping detected circle;
Wherein v isyiShowing, the data sample of the rope skipping detected circle Y direction,the predicted value corresponding to the data sample representing the Y direction of the rope skipping detected circle represents the data sample representing the Y direction of the rope skipping detected circle,data sample for indicating Y direction of rope skipping detected circleAnd (4) corresponding predicted values.
S1432: and calculating the average value of the integral horizontal movement integrals of the m rope skipping detected rings, and bringing the average value into a preset judgment interval to obtain the rope skipping horizontal movement stability score.
Specifically, integral horizontal movement integral of rope skipping detected ring1-5 points evaluation interval: [0, pc1) 5 min; [ pc ] A1,pc2) 4, 4 minutes; [ pc ] A2,pc3) And 3 min; [ pc ] A3,pc4) And 2 min; [ pc ] A4,+∞]And 1 point. Wherein, pc1,pc2,pc3,pc4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of 5 points of integral horizontal motion integration is a, the average value of 4 points of integral horizontal motion integration is b, and then the critical value pc of 5 points and 4 points is1=(a+b)/2。
S144: the calculation method of the rhythm score comprises the following steps:
s1441: circularly calculating variance [ var ] of data points of every continuous 5 circles1,var2,var3,…,varm-4]。
S1442: setting a threshold value d, and calculating the proportion r of the variance number of the data points with variance larger than d in every continuous 5 circles to all variances.
S1443: and substituting the proportion r into the corresponding judgment interval to determine the rhythm score.
Wherein, the rhythm is 1 to 5 to judge the interval: [0, pd1) 5 min; [ pd ]1,pd2) 4, 4 minutes; [ pd ]2,pd3) And 3 min; [ pd ]3,pd4) And 2 min; [ pd ]4,+∞]And 1 point. Wherein pd is1,pd2,pd3,pd4An artificially set end value. The specific value is obtained from the historical data labeled by the relevant experts, for example, the average value of the ratio r of 5 points is a, the average value of the ratio r of 4 points is b, and then the critical value pd of 5 points and 4 points is1=(a+b)/2。
S145: the endurance score calculating method comprises the following steps:
s1451: acquiring time for jumping m circles;
s1452: calculating the average speed s of m jump circles;
s1453: and substituting the average speed s into the corresponding judgment interval to determine the endurance score.
Wherein, the endurance is 1 to 5 grades of evaluation interval: [0, qe ]1) 1, 1 min; [ qe1,qe2) 4, 4 minutes; [ qe2,qe3) And 3 min; [ qe3,qe4) And 2 min; [ qe4,+∞]And 1 point. Wherein pe1,pe2,pe3,pe4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of 5-point average speed s is a, the average value of 4-point average speed s is b, and then the critical value pe of 5-point and 4-point is1=(a+b)/2。
S150: and acquiring weights w1, w2, w3, w4 and w5 corresponding to the scores of 5 items of action, coordination, stability, rhythm and endurance.
Specifically, the weight setting is performed by data labeled by an expert in the related art.
S160: obtaining the correlation weight r of 5 scores of action, coordination, stability, rhythm and endurance and the N risk listi,j,ri,jIndicating the relevance of the ith score to the jth lesson.
Specifically, 5 scores for action, coordination, stability, cadence, endurance, and the relevance weights of the courses in the course list are analyzed by an expert labeled course history database.
S180: all health risks are sorted from small to large according to joint relevance scores, and the top k are returned as health risks.
Example 2
Referring to fig. 2, the present embodiment provides a rope skipping health risk assessment device based on the rope skipping movement posture assessment.
In this embodiment, the apparatus includes the following modules:
and the data acquisition module is suitable for acquiring Hall sensor signal data and six-axis gyroscope data during continuous rope skipping movement through the gyroscope and the Hall sensor. Specifically, the gyroscope and the hall sensor are disposed within the handle for detecting hall sensor signals and six-axis gyroscope data.
And the data processing module is suitable for obtaining the total number of turns M of the rope skipping detected loop according to the Hall sensor signal and obtaining the six-axis gyroscope data of each turn according to the Hall sensor signal. Specifically, data of the corresponding six-axis gyroscope is judged by a Hall sensor signal when the rotating head of the handle rotates for one circle.
And the number of turns screening module is suitable for screening out effective number of turns m according to the data of the six-axis gyroscope of each turn.
Specifically, the turn number screening module is used for realizing the following method:
s131: the X, Y, Z, pitch, yaw five-direction sine curve fitting the tested circle of the skipping rope is calculated through numerical calculation.
Specifically, the method for fitting the sine curve of the rope skipping detected circle in the X direction through numerical calculation comprises the following steps:
acquiring n data samples of six-axis gyroscope data in the X direction, and setting the mean value of the n data samples to zero, namely, the n data samples are vx,vx=[v1,v2,v3,…,vn](ii) a After zero settingWherein v isnewRepresenting the zeroed data samples, vxiRepresenting data samples vxThe ith sample data in (1).
Let the fitted curve in the X direction be f (X) ax*sin(bxx+cx);
Calculating n data samples of six-axis gyroscope data in the X directionCalculating the parameter ax、bx、cxThereby obtaining a formula of a fitted curve in the X direction.
Where t represents the time of the turn,wherein n is the time taken by the loop, and f represents the sampling frequency of n data samples;
calculating vnewArea enclosed by curve y-0By means of the calculation of the properties of the sinusoid,
computingCorresponding toAnd from all w1~wnThe maximum value of the two is recorded as wjThe sinusoidal property is calculated, through the sinusoidal property,
the fitting method of the sinusoids in the remaining Y, Z, pitch, yaw four directions is the same as the fitting method of the sinusoids in the X direction.
S132: and calculating the error between the sine curve of the rope skipping detected ring and the six-axis gyroscope data of the ring.
Specifically, the method for calculating the error between the sine curve of the rope skipping detected circle and the six-axis gyroscope data of the circle comprises the following steps:
calculating the error in the X directionX;
Specifically, the predicted value of each acquisition point is calculated by the formula of the sinusoid in the X directionCalculating a primary errorAnd second order error Calculating the error in the X direction
Calculating the Y-direction errorY;
Specifically, the same principle as the X-direction error calculation method.
Calculating Z-direction errorZ;
Specifically, the same is true for the Z-direction error calculation method.
And the errors in the X, Y, Z three directions are summed to obtain the total error which is equal to errorX+errorY+errorZ。
S133: and judging whether the detected rope skipping loop is bad or not through the error, namely, when the total error is smaller than a preset threshold value p, the detected rope skipping loop is a good loop, and when the total error is larger than or equal to the preset threshold value p, the detected rope skipping loop is a bad loop, wherein the threshold value p is set according to the highest error of the loop skipped by the rope skipping in the historical database.
S134: and deleting the data of the number of the bad turns in the measured loops of the M skipping ropes, thereby screening out the number of the effective turns M.
Specifically, the error of each rope skipping detected circle in the M rope skipping detected circles is calculated, the error of each rope skipping detected circle is judged, and the number of bad circles in the M rope skipping detected circles is deleted, so that the number of effective circles M is screened out.
A score calculating module suitable for calculating the data points of each circle in the measured circles of the m skipping ropesNumber [ n ]1,n2,n3,…,nm]And respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user.
In particular, the score calculation module is used to implement the following method:
specifically, step S140 includes the steps of:
s141: the calculation method of the action score comprises the following steps:
s1412: calculating the motion amplitude of the arm according to the X, Z two-direction sine curves of each rope skipping detected ring;
specifically, the arm motion amplitude is calculated according to the X, Z sine curves of the tested circle of the skipping rope in two directions, namely: the motion range of the arm of the rope skipping detected ring is
S1413: and calculating the wrist movement amplitude according to the sine curves of pitch and yaw of the measured circle of each skipping rope. Namely, the wrist movement amplitude is calculated according to the sine curves of pitch and yaw of the tested loop of the skipping rope, namely: the wrist movement amplitude of the tested ring of the skipping rope is
S1414: and respectively substituting the arm motion amplitude and the wrist motion amplitude into the corresponding preset judgment intervals, thereby obtaining the arm motion amplitude score and the wrist motion amplitude score of each rope skipping detected ring. Wherein the judgment interval corresponding to the arm motion amplitude is [0, pa1) 5 min; [ pa ] to1,pa2) 4, 4 minutes; [ pa ] to2,pa3) And 3 min; [ pa ] to3,pa4) And 2 min; [ pa ] to4,+∞]1, the judgment interval corresponding to the wrist motion amplitude is [0, qa1) 1, 1 min; [ qa1,qa2) And 2 min; [ qa2,qa3) And 3 min; [ qa3,qa4) 4, 4 minutes; [ qa4,+∞]And 5 points.
Wherein, the end value of the judgment interval of the arm motion amplitude, pa1-pa4The historical data labeled by the expert is obtained, for example, in the historical data labeled by the expert, when the average value of the arm movement amplitude is a, the score is 5 points, when the average value of the arm movement amplitude is b, the score is b, and then the critical value of 5 points and 4 points, pa1Is (a + b)/2, pa2-pa4Is obtained in a manner similar to pa1Similarly, the description will not be repeated here.
End value of the judgment interval of the wrist movement amplitude, qa1-qa4The specific calculation mode is the same as the calculation mode of the end value of the judgment interval of the arm motion amplitude according to the historical data labeled by the experts.
Calculating the average value of the arm motion amplitude scores and the average value of the wrist motion amplitude scores of the m rope skipping detected rings, and calculating the average value of the arm motion amplitude scores and the average value of the wrist motion amplitude scores, namely the final rope skipping action score, namely the average value of the arm motion amplitude scoresWherein, S1iRepresenting the average value of the arm movement amplitude score and the wrist movement amplitude score of the ith skipping rope detected ringWherein, S2iThe wrist movement amplitude score of the ith rope skipping detected circle is shown, and m represents the total number of the rope skipping detected circles. And calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores, namely the final rope skipping action standard degree score.
S142: the calculation method of the harmony score comprises the following steps:
s1421: and calculating the phase difference of the sine curves of the tested rings of each skipping rope in the X and Z directions.
Specifically, phase values c in the X and Z directions are obtainedXAnd cZAnd a common period b ═ b in both directionsx=bz;
S1422: and judging the coordination score of each rope skipping detected circle through the phase difference.
Specifically, the phase difference is substituted into a preset determination section to obtain a harmony score. The preset judgment interval is as follows: 1-5 points evaluation interval: [0, pb1) 5 min; [ pb)1,pb2) 4, 4 minutes; [ pb)2,pb3) And 3 min; [ pb)3,pb4) And 2 min; [ pb)4,2π]1 part of, wherein, pb1,pb2,pb3,pb4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of the phase difference of 5 points is a, the average value of the phase difference of 4 points is b, and then the critical value pb of 5 points and 4 points1=(a+b)/2。
S1423: and calculating the average value of the harmony scores of the m rope skipping detected rings, namely the final overall harmony score.
Specifically, the number of turns of all measured turns is set to be m, and finally the overall harmony score is obtainedWherein S isiAnd (4) representing the score of the tested circle of the ith skipping rope.
S143: the stability score calculation method comprises the following steps:
s1431: and calculating the integral of the overall horizontal motion of the rope skipping detected ring through the motion amplitudes of each rope skipping detected ring in the X direction and the Y direction.
Specifically, the predicted value of each data sample in the X direction of the rope skipping detected circle
Wherein v isxiIndicating, skipping rope, to be measured in X directionThe data samples of (a) are,representing a predicted value corresponding to a data sample in the X direction of the rope skipping detected circle;
Wherein v isyiShowing, the data sample of the rope skipping detected circle Y direction,the predicted value corresponding to the data sample representing the Y direction of the rope skipping detected circle represents the data sample representing the Y direction of the rope skipping detected circle,and the predicted value corresponding to the data sample in the Y direction of the rope skipping detected circle is shown.
S1432: and calculating the average value of the integral horizontal movement integrals of the m rope skipping detected rings, and bringing the average value into a preset judgment interval to obtain the rope skipping horizontal movement stability score.
Specifically, integral horizontal movement integral of rope skipping detected ring1-5 points evaluation interval: [0, pc1) 5 min; [ pc ] A1,pc2) 4, 4 minutes; [ pc ] A2,pc3) And 3 min; [ pc ] A3,pc4) And 2 min; [ pc ] A4,+∞]And 1 point. Wherein, pc1,pc2,pc3,pc4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of 5 points of integral horizontal motion integration is a, the average value of 4 points of integral horizontal motion integration is b, and then the critical value pc of 5 points and 4 points is1=(a+b)/2。
S144: the calculation method of the rhythm score comprises the following steps:
s1441: circulation meterCalculate variance of data points per 5 consecutive circles var1,var2,var3,…,varm-4]。
S1442: setting a threshold value d, and calculating the proportion r of the variance number of the data points with variance larger than d in every continuous 5 circles to all variances.
S1443: and substituting the proportion r into the corresponding judgment interval to determine the rhythm score.
Wherein, the rhythm is 1 to 5 to judge the interval: [0, pd1) 5 min; [ pd ]1,pd2) 4, 4 minutes; [ pd ]2,pd3) And 3 min; [ pd ]3,pd4) And 2 min; [ pd ]4,+∞]And 1 point. Wherein pd is1,pd2,pd3,pd4An artificially set end value. The specific value is obtained from the historical data labeled by the relevant experts, for example, the average value of the ratio r of 5 points is a, the average value of the ratio r of 4 points is b, and then the critical value pd of 5 points and 4 points is1=(a+b)/2。
S145: the endurance score calculating method comprises the following steps:
s1451: acquiring time for jumping m circles;
s1452: calculating the average speed s of m jump circles;
s1453: and substituting the average speed s into the corresponding judgment interval to determine the endurance score.
Wherein, the endurance is 1 to 5 grades of evaluation interval: [0, qe ]1) 1, 1 min; [ qe1,qe2) 4, 4 minutes; [ qe2,qe3) And 3 min; [ qe3,qe4) And 2 min; [ qe4,+∞]And 1 point. Wherein pe1,pe2,pe3,pe4An artificially set end value. The specific value is obtained from historical data labeled by relevant experts, for example, the average value of 5-point average speed s is a, the average value of 4-point average speed s is b, and then the critical value pe of 5-point and 4-point is1=(a+b)/2。
And the weight acquisition module is suitable for acquiring weights w1, w2, w3, w4 and w5 corresponding to the scores of 5 items of action, coordination, stability, rhythm and endurance. Specifically, the weight setting is performed by data labeled by an expert in the related art.
A correlation weight acquisition module which is suitable for acquiring the correlation weight r of 5 scores of action, coordination, stability, rhythm and endurance and the N risk listi,j,ri,jIndicating the relevance of the ith score to the jth lesson. Specifically, 5 scores for action, coordination, stability, cadence, endurance, and the relevance weights of the courses in the course list are analyzed by an expert labeled course history database.
A joint relevance score calculation module for calculating joint relevance scores of each health risk
And the health risk early warning module is suitable for sequencing all the health risks from small to large according to the joint relevance scores and returning the first k health risks as the health risks.
Example 3
Embodiments of the present invention provide a computer-readable storage medium, in which one or more instructions are stored, and when executed by a processor, the one or more instructions implement the rope skipping course recommendation method based on rope skipping posture evaluation provided in embodiment 1.
In the embodiment, when the health risk of rope skipping is evaluated, Hall sensor signal data and six-axis gyroscope data are obtained, and the number [ n ] of data points of each circle in m rope skipping detected circles is counted1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user; and acquiring health risks needing pushing according to the action, coordination, stability, rhythm and endurance scores.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Example 4
Referring to fig. 3, an embodiment of the present invention further provides an electronic device, including: a memory 502 and a processor 501; the memory 502 has at least one program instruction stored therein; the processor 501, by loading and executing the at least one program instruction, implements the rope skipping course recommendation method based on rope skipping movement posture evaluation as provided in embodiment 1.
The memory 502 and the processor 501 are coupled in a bus that may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor 501 and the memory 502 together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 501 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 501.
The processor 501 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 502 may be used to store data used by processor 501 in performing operations.
In summary, the present invention provides a rope skipping health risk assessment method and device, wherein the rope skipping health risk assessment method based on rope skipping movement posture assessment counts [ n ] data points in each circle of m rope skipping detected circles1,n2,n3,…,nm]Separately computing usersRope skipping action, coordination, stability, rhythm and endurance score, acquiring weights w1, w2, w3, w4 and w5 corresponding to the action, coordination, stability, rhythm and endurance 5 scores according to historical data labeled by experts, and acquiring correlation weight r of the action, coordination, stability, rhythm and endurance 5 scores and an N risk listi,j,ri,jAnd expressing the correlation between the ith score and the jth course, so as to calculate the total score of all health risks, and enable a user to know that the self rope skipping posture can cause the health risks, thereby purposefully correcting the self rope skipping posture and reducing the risk of injury during exercise.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (8)
1. A rope skipping health risk assessment method based on rope skipping movement posture assessment is characterized by comprising the following steps:
acquiring Hall sensor signal data and six-axis gyroscope data during continuous rope skipping movement through a gyroscope and a Hall sensor;
obtaining the total number M of turns of a rope skipping detected circle according to the Hall sensor signal, and analyzing the data of the six-axis gyroscope of each circle according to the Hall sensor signal;
screening out effective number m of turns according to the data of the six-axis gyroscope of each turn;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating rope skipping action, coordination, stability, rhythm and endurance score of the user;
acquiring weights w1, w2, w3, w4 and w5 corresponding to 5 scores of actions, coordination, stability, rhythm and endurance;
obtaining scores and scores of 5 items of action, coordination, stability, rhythm and enduranceRelevance weight r for N risk listsi,j,ri,jRepresenting the relevance of the ith score to the jth lesson;
sorting all the health risks from small to large according to the joint relevance scores, and returning the first k health risks as the health risks;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Respectively calculating the rope skipping action, coordination, stability, rhythm and endurance score of the user, including:
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Fitting X, Z, pitch and yaw sine curves of each rope skipping detected ring, calculating the motion amplitude of the arm and the wrist, and obtaining rope skipping action scores according to the corresponding preset judgment interval;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Calculating the phase difference of the sine curves of the rope skipping detected rings in the X and Z directions, and obtaining a harmony score according to the phase difference;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Obtaining the motion amplitude of each rope skipping detected ring in the X direction and the Y direction, calculating the integral of the overall horizontal motion of the rope skipping detected ring, and obtaining a stability score according to the corresponding preset judgment interval;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]And circularly calculating the variance [ var ] of the data points of every continuous 5 circles1,var2,var3,…,varm-4](ii) a Setting a threshold value d, and calculating the proportion r of the variance number of which the variance is larger than d in every continuous 5 circles to all the variances; will be provided withSubstituting the proportion r into the corresponding judgment interval to determine a rhythm score;
according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Acquiring time for jumping m circles; calculating the average speed s of m jump circles; and substituting the average speed s into the corresponding judgment interval to determine the endurance score.
2. The rope skipping health risk assessment method based on rope skipping movement posture assessment according to claim 1, wherein the method for screening out effective number of turns m according to six-axis gyroscope data per turn comprises:
calculating the sine curves of X, Y, Z, pitch, yaw five directions of the tested circle of the rope skipping by numerical calculation;
calculating the error between the sine curve of the rope skipping detected ring and the six-axis gyroscope data of the ring;
judging whether the detected loop of the skipping rope is bad or not through errors, namely, judging that the loop is a good loop when the total error is smaller than a preset threshold value p and judging that the loop is a bad loop when the total error is larger than or equal to p;
and deleting the data of the number of the bad turns in the measured loops of the M skipping ropes, thereby screening out the number of the effective turns M.
3. The rope skipping health risk assessment method based on rope skipping motion posture assessment according to claim 2, wherein the calculation method of the action score comprises:
calculating the motion amplitude of the arm according to the X, Z two-direction sine curves of each rope skipping detected ring;
calculating the wrist movement amplitude according to the sine curves of pitch and yaw of each measured rope skipping loop in two directions;
respectively substituting the arm motion amplitude and the wrist motion amplitude into corresponding preset judgment intervals, thereby obtaining an arm motion amplitude score and a wrist motion amplitude score of each rope skipping detected ring;
and calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores of the m rope skipping detected rings, and calculating the average value of the arm movement amplitude scores and the average value of the wrist movement amplitude scores, namely the final rope skipping action score.
4. The rope skipping health risk assessment method based on rope skipping kinematic posture assessment according to claim 2, wherein the calculation method of the coordination score comprises:
calculating the phase difference of the sine curves of the rope skipping detected rings in the X and Z directions;
judging the coordination score of each rope skipping detected circle through the phase difference;
and calculating the average value of the harmony scores of the m rope skipping detected rings, namely the final overall harmony score.
5. The rope skipping health risk assessment method based on rope skipping motion posture assessment according to claim 2, wherein the stability score calculation method comprises:
calculating the integral horizontal movement of the rope skipping detected ring through the movement amplitudes of each rope skipping detected ring in the X direction and the Y direction;
and calculating the average value of the integral horizontal movement integrals of the m rope skipping detected rings, and bringing the average value into a preset judgment interval to obtain the rope skipping horizontal movement stability score.
6. A rope skipping health risk assessment device based on rope skipping motion posture assessment is characterized by comprising: the data acquisition module is suitable for acquiring Hall sensor signal data and six-axis gyroscope data during continuous rope skipping movement through the gyroscope and the Hall sensor;
the data processing module is suitable for obtaining the total number M of turns of a rope skipping detected loop according to signals of the Hall sensors and obtaining six-axis gyroscope data of each turn according to the signals of the Hall sensors;
the number of turns screening module is suitable for screening out effective number of turns m according to the data of the six-axis gyroscope of each turn;
a score calculating module suitable for counting the number [ n ] of data points of each circle in the m rope skipping detected circles1,n2,n3,…,nm]For separate calculationThe rope skipping action, coordination, stability, rhythm and endurance score of the user; specifically, according to the number of data points [ n ] of each circle in m rope skipping detected circles1,n2,n3,…,nm]Fitting X, Z, pitch and yaw sine curves of each rope skipping detected ring, calculating the motion amplitude of the arm and the wrist, and obtaining rope skipping action scores according to the corresponding preset judgment interval; according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Calculating the phase difference of the sine curves of the rope skipping detected rings in the X and Z directions, and obtaining a harmony score according to the phase difference; according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Obtaining the motion amplitude of each rope skipping detected ring in the X direction and the Y direction, calculating the integral of the overall horizontal motion of the rope skipping detected ring, and obtaining a stability score according to the corresponding preset judgment interval; according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]And circularly calculating the variance [ var ] of the data points of every continuous 5 circles1,var2,var3,…,varm-4](ii) a Setting a threshold value d, and calculating the proportion r of the variance number of which the variance is larger than d in every continuous 5 circles to all the variances; substituting the proportion r into the corresponding judgment interval to determine a rhythm score; according to the number of data points [ n ] of each circle in the m rope skipping detected circles1,n2,n3,…,nm]Acquiring time for jumping m circles; calculating the average speed s of m jump circles; substituting the average speed s into the corresponding judgment interval to determine the endurance score;
the weight acquisition module is suitable for acquiring weights w1, w2, w3, w4 and w5 corresponding to the scores of 5 items of action, coordination, stability, rhythm and endurance;
a correlation weight acquisition module which is suitable for acquiring the correlation weight r of 5 scores of action, coordination, stability, rhythm and endurance and the N risk listi,j,ri,jRepresenting the relevance of the ith score to the jth lesson;
a joint correlation score calculation module for calculating joint correlation of each health riskSexual scoreWherein S isiRepresents the ith score;
and the health risk early warning module is suitable for sequencing all the health risks from small to large according to the joint relevance scores and returning the first k health risks as the health risks.
7. A computer-readable storage medium having one or more instructions stored therein, wherein the one or more instructions, when executed by a processor, implement the rope skipping health risk assessment method based on rope skipping posture assessment according to any one of claims 1-5.
8. An electronic device, comprising: a memory and a processor; at least one program instruction is stored in the memory; the processor, by loading and executing the at least one program instruction, implements the rope skipping health risk assessment method based on rope skipping movement posture assessment of any one of claims 1-5.
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