CN112774079A - Rope skipping health risk assessment method and device - Google Patents

Rope skipping health risk assessment method and device Download PDF

Info

Publication number
CN112774079A
CN112774079A CN202011535904.6A CN202011535904A CN112774079A CN 112774079 A CN112774079 A CN 112774079A CN 202011535904 A CN202011535904 A CN 202011535904A CN 112774079 A CN112774079 A CN 112774079A
Authority
CN
China
Prior art keywords
rope skipping
score
calculating
data
scores
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011535904.6A
Other languages
Chinese (zh)
Other versions
CN112774079B (en
Inventor
俞朝杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Haoxiguan Technology Co ltd
Original Assignee
Zhejiang Haoxiguan Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Haoxiguan Technology Co ltd filed Critical Zhejiang Haoxiguan Technology Co ltd
Priority to CN202011535904.6A priority Critical patent/CN112774079B/en
Publication of CN112774079A publication Critical patent/CN112774079A/en
Application granted granted Critical
Publication of CN112774079B publication Critical patent/CN112774079B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement
    • A63B2024/0012—Comparing movements or motion sequences with a registered reference

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Operations Research (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention relates to 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 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,jRepresenting the correlation between the ith score and the jth course so as to calculate the total score of all health risks, and enabling the user to realize that the self rope skipping posture can cause the health windTherefore, the self rope skipping posture is purposefully corrected, and the risk of injury during movement is reduced.

Description

Rope skipping health risk assessment method and device
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;
calculating a joint relevance score for each health risk
Figure BDA0002853451030000021
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 good when the total error is smaller than a preset threshold value p, and judging that the loop is a 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;
score calculation module adapted to calculate a score based onNumber of data points (n) in each circle of 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
Figure BDA0002853451030000041
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 and section of the userObtaining weights w1, w2, w3, w4 and w5 corresponding to the scores of 5 items of action, coordination, stability, rhythm and endurance according to historical data labeled by experts, and obtaining the correlation weight r of the scores of 5 items of action, coordination, stability, rhythm and endurance and the 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 setting
Figure BDA0002853451030000061
Wherein v isnewRepresenting the zeroed data samples, vxiRepresenting data samples vxThe ith sample inThis data.
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.
Parameter(s)
Figure BDA0002853451030000062
Where t represents the time of the turn,
Figure BDA0002853451030000063
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-0
Figure BDA0002853451030000071
By means of the calculation of the properties of the sinusoid,
Figure BDA0002853451030000072
computing
Figure BDA0002853451030000073
Corresponding to
Figure BDA0002853451030000074
And from all w1～wnThe maximum value is selected and recorded as wj, and the maximum value is calculated through the properties of a sine curve,
Figure BDA0002853451030000075
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 direction
Figure BDA0002853451030000076
Calculating a primary error
Figure BDA0002853451030000077
And second order error
Figure BDA0002853451030000078
Figure BDA0002853451030000079
Calculating the error in the X direction
Figure BDA00028534510300000710
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 tested rope skipping loop is bad or not through the error, namely, when the total error is smaller than a preset threshold value p, the tested rope skipping loop is a good loop, and when the total error is larger than or equal to p, the tested rope skipping loop is a loop, wherein the threshold value p is set according to the highest error of the loop skipped by the skipping rope 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
Figure BDA0002853451030000081
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
Figure BDA0002853451030000082
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 scores
Figure BDA0002853451030000091
Wherein, S1iRepresenting the average value of the arm movement amplitude score and the wrist movement amplitude score of the ith skipping rope detected ring
Figure BDA0002853451030000092
Wherein, 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；
Error between phases
Figure BDA0002853451030000093
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 obtained
Figure BDA0002853451030000101
Wherein 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
Figure BDA0002853451030000102
Integral of horizontal motion in the X direction
Figure BDA0002853451030000103
Wherein v isxiShowing, the data sample of the X direction of the tested rope skipping circle,
Figure BDA0002853451030000104
representing a predicted value corresponding to a data sample in the X direction of the rope skipping detected circle;
integral of horizontal motion in Y direction
Figure BDA0002853451030000105
Wherein v isyiShowing, the data sample of the rope skipping detected circle Y direction,
Figure BDA0002853451030000106
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,
Figure BDA0002853451030000107
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 ring
Figure BDA0002853451030000108
1-5 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.
S170: calculating a joint relevance score for each health risk
Figure BDA0002853451030000111
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 setting
Figure BDA0002853451030000121
Wherein 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.
Parameter(s)
Figure BDA0002853451030000131
Where t represents the time of the turn,
Figure BDA0002853451030000132
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-0
Figure BDA0002853451030000133
By means of the calculation of the properties of the sinusoid,
Figure BDA0002853451030000134
computing
Figure BDA0002853451030000135
Corresponding to
Figure BDA0002853451030000136
And from all w1～wnThe maximum value is selected and recorded as wj, and the maximum value is calculated through the properties of a sine curve,
Figure BDA0002853451030000137
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 direction
Figure BDA0002853451030000138
Calculating a primary error
Figure BDA0002853451030000139
And second order error
Figure BDA00028534510300001310
Figure BDA00028534510300001311
Calculating the error in the X direction
Figure BDA00028534510300001312
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 tested rope skipping loop is bad or not through the error, namely, when the total error is smaller than a preset threshold value p, the tested rope skipping loop is a good loop, and when the total error is larger than or equal to p, the tested rope skipping loop is a loop, wherein the threshold value p is set according to the highest error of the loop skipped by the skipping rope 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 counting the number [ n ] of data points of each circle in the m rope skipping detected circles1,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
Figure BDA0002853451030000141
S1413: and calculating the wrist movement amplitude according to the sine curves of pitch and yaw of the measured circle of each skipping rope. I.e. pitc according to the loop to be tested for skippingThe amplitude of the wrist movement is calculated by the sinusoids in the two directions h, yaw, i.e.: the wrist movement amplitude of the tested ring of the skipping rope is
Figure BDA0002853451030000142
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 scores
Figure BDA0002853451030000151
Wherein, S1iRepresenting the average value of the arm movement amplitude score and the wrist movement amplitude score of the ith skipping rope detected ring
Figure BDA0002853451030000152
Wherein, 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；
Error between phases
Figure BDA0002853451030000153
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.
In particular toSetting the number of turns of all the tested turns as m, and finally scoring the whole harmony
Figure BDA0002853451030000161
Wherein 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
Figure BDA0002853451030000162
Integral of horizontal motion in the X direction
Figure BDA0002853451030000163
Wherein v isxiShowing, the data sample of the X direction of the tested rope skipping circle,
Figure BDA0002853451030000164
representing a predicted value corresponding to a data sample in the X direction of the rope skipping detected circle;
integral of horizontal motion in Y direction
Figure BDA0002853451030000165
Wherein v isyiShowing, the data sample of the rope skipping detected circle Y direction,
Figure BDA0002853451030000166
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,
Figure BDA0002853451030000167
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 ring
Figure BDA0002853451030000168
1-5 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。
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
Figure BDA0002853451030000181
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]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.
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 (10)

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 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;
calculating a joint relevance score for each health risk
Figure FDA0002853451020000011
All health risks are sorted from small to large according to joint relevance scores, and the top k are returned as health risks.
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 good when the total error is smaller than a preset threshold value p, and judging that the loop is a 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 action score calculation method 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. The rope skipping health risk assessment method based on rope skipping motion posture assessment according to claim 2, wherein the calculation method of the tempo score comprises:
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.
7. The rope skipping health risk assessment method based on rope skipping motion posture assessment according to claim 2, wherein the endurance score is calculated by the method comprising:
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.
8. 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]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
Figure FDA0002853451020000031
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.
9. A computer-readable storage medium having one or more instructions stored thereon, 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 1-7.
10. 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 posture assessment of any one of claims 1-7.
CN202011535904.6A 2020-12-23 2020-12-23 Rope skipping health risk assessment method and device Active CN112774079B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011535904.6A CN112774079B (en) 2020-12-23 2020-12-23 Rope skipping health risk assessment method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011535904.6A CN112774079B (en) 2020-12-23 2020-12-23 Rope skipping health risk assessment method and device

Publications (2)

Publication Number Publication Date
CN112774079A true CN112774079A (en) 2021-05-11
CN112774079B CN112774079B (en) 2021-10-29

Family

ID=75751856

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011535904.6A Active CN112774079B (en) 2020-12-23 2020-12-23 Rope skipping health risk assessment method and device

Country Status (1)

Country Link
CN (1) CN112774079B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113569776A (en) * 2021-08-02 2021-10-29 北京易真学思教育科技有限公司 Rope skipping posture detection method and device, electronic equipment and medium
CN113642896A (en) * 2021-08-16 2021-11-12 江苏动泰运动用品有限公司 Gymnasium safety risk early warning method and system based on artificial intelligence
CN116110584A (en) * 2023-02-23 2023-05-12 江苏万顶惠康健康科技服务有限公司 Human health risk assessment early warning system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060087757A (en) * 2005-01-31 2006-08-03 김수열 Method and device which is measurable and displayable of the quantity of exercise using an optical illusion phenomenon a rope skipping apparatus for the same
KR100859854B1 (en) * 2007-06-28 2008-09-24 송영웅 Jump rope for measuring calory outputting rotational frequency with voice
CN209952112U (en) * 2019-05-08 2020-01-17 深圳市华亿教育科技有限公司 Rope skipping device
CN110755834A (en) * 2019-10-21 2020-02-07 深圳市中慧智体科技有限公司 Skipping rope score acquisition method and device and intelligent skipping rope
CN211273325U (en) * 2019-11-08 2020-08-18 深圳市中慧智体科技有限公司 Intelligent skipping rope handle
CN212118870U (en) * 2020-03-06 2020-12-11 深圳市爆点科技有限公司 Holographic screen intelligent display skipping rope

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20060087757A (en) * 2005-01-31 2006-08-03 김수열 Method and device which is measurable and displayable of the quantity of exercise using an optical illusion phenomenon a rope skipping apparatus for the same
KR100859854B1 (en) * 2007-06-28 2008-09-24 송영웅 Jump rope for measuring calory outputting rotational frequency with voice
CN209952112U (en) * 2019-05-08 2020-01-17 深圳市华亿教育科技有限公司 Rope skipping device
CN110755834A (en) * 2019-10-21 2020-02-07 深圳市中慧智体科技有限公司 Skipping rope score acquisition method and device and intelligent skipping rope
CN211273325U (en) * 2019-11-08 2020-08-18 深圳市中慧智体科技有限公司 Intelligent skipping rope handle
CN212118870U (en) * 2020-03-06 2020-12-11 深圳市爆点科技有限公司 Holographic screen intelligent display skipping rope

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113569776A (en) * 2021-08-02 2021-10-29 北京易真学思教育科技有限公司 Rope skipping posture detection method and device, electronic equipment and medium
CN113642896A (en) * 2021-08-16 2021-11-12 江苏动泰运动用品有限公司 Gymnasium safety risk early warning method and system based on artificial intelligence
CN116110584A (en) * 2023-02-23 2023-05-12 江苏万顶惠康健康科技服务有限公司 Human health risk assessment early warning system
CN116110584B (en) * 2023-02-23 2023-09-22 江苏万顶惠康健康科技服务有限公司 Human health risk assessment early warning system

Also Published As

Publication number Publication date
CN112774079B (en) 2021-10-29

Similar Documents

Publication Publication Date Title
CN112774079B (en) Rope skipping health risk assessment method and device
Garnacho-Castaño et al. Reliability and validity assessment of a linear position transducer
Attia et al. Measurement errors when estimating the vertical jump height with flight time using photocell devices: the example of Optojump
US7601126B2 (en) Lameness evaluation systems and methods
US8840569B2 (en) Method and device for assessing muscular capacities of athletes using short tests
US20150374283A1 (en) Method and device for mobile training data acquisition and analysis of strength training
CA2758932A1 (en) Athletic performance rating system
Fleisig et al. Comparison of marker-less and marker-based motion capture for baseball pitching kinematics
Fernandes et al. The intra-and inter-day reproducibility of the FitroDyne as a measure of multi-jointed muscle function
CN112755434B (en) Rope skipping action standard degree evaluation method and device
Soriano et al. Mechanical power production assessment during weightlifting exercises. A systematic review
Domaradzki et al. The mediating effect of change of direction speed in the relationship between the type of sport and reactive agility in elite female team-sport athletes
WO2007036611A1 (en) Evaluation method of a sports performance
Vickery-Howe et al. Physiological, perceptual, and biomechanical differences between treadmill and overground walking in healthy adults: A systematic review and meta-analysis
CN114870364B (en) Exercise machine control method, exercise machine, and storage medium
CN112657117B (en) Rope skipping course recommendation method and device
CN113303765B (en) System for detecting specific kind muscle problem of interested object
CN112755433B (en) Rope skipping stability evaluation method and device
CN112755435B (en) Rope skipping coordination evaluation method and device
McMahon et al. Fitness testing and data analysis
CN113303764B (en) System for detecting muscle health state of object of interest
JP6486200B2 (en) Mobile motion analysis apparatus, system, and program
KR102403474B1 (en) Cognitive impairment rehabilitation judgment device and method
US11944870B2 (en) Movement determination method, movement determination device and computer-readable storage medium
McMahon et al. Muscular Power

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant