阅读说明：本技术 一种适用于滑雪训练台的动作评价与动作指导方法 (Action evaluation and action guidance method suitable for ski training platform ) 是由 姚小兰 张艺佳 费庆 陈振 方勖洋 曹洪卿 李佩璋 张�浩 于 2020-11-30 设计创作，主要内容包括：本发明公开的一种适用于滑雪训练台的动作评价与动作指导方法,属于运动训练评价指导领域。本发明采集滑雪训练者四种数据；划分训练者滑雪技能等级,记录技术评分,并计算得出对应滑行数据评分公式；结合训练者全身六个特征,将所述特征进行归一化处理,采用加权欧式距离法与专业滑雪者的特征进行相似性度量,将相似性度量结果进行线性拟合得到最终综合评分。本发明将滑雪者在滑雪训练台上的运动分为三个区域,分别在每个区域对训练者进行实时有针对性的训练指导。本发明通过实时数据显示能够实现对在滑雪训练台上的训练者实时动作指导；还能够通过存储四种关键数据方便训练者做历史训练数据对比分析,提升动作评价和动作指导效率和效果。(The invention discloses a motion evaluation and motion guidance method suitable for a ski training platform, and belongs to the field of motion training evaluation guidance. The invention collects four data of a skiing trainer; dividing the skiing skill level of the trainer, recording the technical score, and calculating to obtain a score formula of the corresponding skiing data; combining six characteristics of the whole body of the trainer, carrying out normalization processing on the characteristics, carrying out similarity measurement on the characteristics of a professional skier by adopting a weighted Euclidean distance method, and carrying out linear fitting on the similarity measurement result to obtain a final comprehensive score. The invention divides the movement of the skier on the ski training platform into three areas, and carries out real-time targeted training guidance on the skier in each area. The invention can realize real-time action guidance for the trainer on the ski training platform through real-time data display; the four key data are stored, so that a trainer can conveniently compare and analyze historical training data, and the action evaluation and action guidance efficiency and effect are improved.)

1. A motion evaluation method suitable for a ski training platform is characterized in that: comprises the following steps of (a) carrying out,

the method comprises the following steps: four kinds of data of collection skiing training person on skiing training platform, the training platform is smooth desktop type training platform or race platform formula training platform, four kinds of data are respectively: human body posture data, foot sole pressure data, distance data between the sliding plate and two ends of the skiing training platform, and sliding plate inclination angle data; measuring the distance between the sliding plate of the trainer and the two sides of the training platform by adopting a distance measuring module, measuring the inclination angles of the two sliding plates of the skier by adopting an inclination angle detecting module, detecting the pressure of the soles of the skier by adopting a sole pressure detecting insole, and detecting the postures of all parts of the human body by adopting a human body posture detecting module;

step two: transmitting the four data in the step one and sending the data to a server;

step three: analyzing the four data transmitted in the second step, and giving out technical data useful for the trainer in real time, wherein the technical data comprises: left and right gyration radius, left and right gyration times, average gyration time, gyration speed in a period, maximum force application of left and right feet in a gyration period, and maximum inclination angle of a left and right sliding plate;

step four: classifying the trainees sliding on the skiing training platform according to skiing skills, respectively recording the technical scores of the five kinds of sliding data of the trainees at corresponding levels, respectively fitting or grading each kind of sliding data record according to the technical scores of the five kinds of sliding data of the trainees in a segmented manner, and calculating to obtain a corresponding sliding data scoring formula; the gliding data are respectively the rotating speed, the rotating maximum inclination angle, the included angle between the back and the ground on the sagittal plane of the human body, the included angle between the maximum upper body inclination angle and the vertical axis on the coronal plane of the human body and the included angle between the thigh and the crus on the sagittal plane of the human body; the five kinds of sliding data respectively correspond to five grades; the five scores are respectively a rotation speed score, a rotation maximum inclination angle score, a gravity height score, an upper body stability score and a lower limb posture score;

step five: the fourth step is to provide technical scores capable of reflecting the level of a trainer aiming at five different kinds of slide data, and in order to improve the accuracy of the scores, six characteristics of the whole body of the trainer are extracted in the fifth step, wherein the characteristics are respectively the periodic revolution speed, the maximum left revolution inclination angle in the period, the included angle between the back and the ground on the sagittal plane of the human body, the range of the inclination angle between the back and the ground on the coronal plane of the human body, and the included angle between the thigh and the shank on the sagittal plane of the human body; carrying out normalization processing on the six features, carrying out similarity measurement on the features of a professional skier by adopting a weighted Euclidean distance method, and carrying out linear fitting on a similarity measurement result to obtain a final comprehensive score so as to realize comprehensive action evaluation on a trainer; compared with the step four that scoring is respectively performed on the five technologies, the comprehensive scoring method in the step five is fused with six characteristic data, so that scoring is more accurate.

2. A method of assessing the performance of a ski training platform as claimed in claim 1, wherein: the first implementation method comprises the following steps of,

the two distance measuring modules are respectively arranged at two ends of the training platform and used for measuring the distance between the sliding plate and two sides of the training platform; the two inclination angle detection modules are respectively arranged at the rear ends of the left sliding plate and the right sliding plate and used for measuring the inclination angles of the two sliding plates; the two sole pressure detection insoles are respectively placed in the two snowshoes and used for detecting sole pressure; the human body posture detection comprises 10 nodes, wherein the wearing parts are a left shoulder, a right shoulder, a left upper arm, a right upper arm, a back, a hip, a left thigh, a right thigh and a left shank respectively, and data collected by each node comprise a pitch angle, a yaw angle and a roll angle.

3. A method of assessing the performance of a ski training platform as claimed in claim 2, wherein: the third step is to realize the method as follows,

step 3.1: solving a left turning radius or a right turning radius, namely the distance between the leftmost end and the middle of the sliding table or the distance between the rightmost end and the middle of the sliding table, which can be reached by the trainer in a turning period, according to the distance data of the two ends of the sliding plate and the skiing training table of the trainer transmitted in the step two; calculating the turning radius of a trainer according to the distance data of the two ends of the ski board and the ski training platform of the ski trainer;

step 3.2: calculating the left and right rotation times of the trainer according to the distance data between the ski board of the skiing trainer and the two ends of the skiing training platform transmitted in the step two; the left turn refers to the complete process that the trainer slides from the middle of the training table to the left end of the training table and then returns to the middle of the training table; the right turn refers to the complete process that the trainer slides from the middle of the training table to the right end of the training table and then returns to the middle of the training table;

step 3.3: timing the revolution times obtained in the step 3.2 to obtain average left-right revolution time, namely the time required for completing one left revolution motion or the time required for completing one right revolution motion;

step 3.4: calculating the revolution time obtained in the step 3.3 and the distance data between the ski board of the ski trainer and the two ends of the ski training platform to obtain the revolution speed in the period, namely the average speed of the trainer completing one left revolution and one right revolution; the average velocity is expressed as follows

Wherein v is the average revolution speed in meters per second, r, for completing one revolution period_lRadius of left turn in meters, r_rThe right turn radius is shown in meters, t represents the time taken to complete a complete turn cycle in seconds;

step 3.5: according to the pressure data obtained by the plantar pressure measuring module, the maximum force of the left foot and the right foot of the trainer completing one period of rotary motion is obtained through calculation;

step 3.6: and calculating to obtain the maximum inclination angle of the sliding plate for the trainer to finish one period of rotary motion according to the inclination angle of the sliding plate of the trainer obtained by the inclination angle measuring module.

4. A method of assessing movement of a ski training platform as claimed in claim 3, wherein: the implementation method of the fourth step is that,

step 4.1: the method comprises the following steps of (1) dividing trainers sliding on a skiing training platform into four grades, namely a skiing coach, a skiing hobbyist, a skiing beginner and a person without skiing experience; recording five kinds of gliding data of trainees in four grades respectively, wherein the gliding data respectively comprise a revolving speed, a revolving maximum inclination angle, an included angle between the back and the ground on a sagittal plane of a human body, an included angle between a maximum upper body inclination angle and a vertical axis on a coronal plane of the human body, and an included angle between thighs and shanks on the sagittal plane of the human body;

step 4.2: fitting the revolving speeds of the trainees in the four grades acquired in the step 4.1, and calculating to obtain a speed scoring formula

Wherein S is_vRepresenting a slew velocity score, v representing a slew mean velocity, v₁Average speed, v, for a ski coach to complete a cycle of revolutions₂Average speed, v, for a ski amateur to complete a cycle of rotation₃Average speed v for a ski beginner to complete a cycle of revolutions₄Completing the average speed of one revolution period for the non-skier;

step 4.3: fitting the maximum gyration dip angles of the trainees in the four grades collected in the step 4.1, and calculating to obtain a maximum gyration dip angle scoring formula

Wherein S is_αRepresenting the velocity score, alpha representing the maximum inclination of gyration, alpha₁For ski coaches performing a rotary movement with a maximum inclination, alpha₂For the ski amateur to perform a maximum pitch angle, alpha, of the rotary movement₃For the ski beginner to perform a rotary movement with a maximum inclination angle alpha₄The maximum inclination angle of the rotary motion is finished by a person without skiing experience in unit of degree;

step 4.4: the included angle between the back and the ground on the sagittal plane of the human body when the trainees of the four middle grades collected in the step 4.1 revolve is graded in a segmentation way, and the gravity center height segmentation grading formula is obtained through calculation

Wherein S is_βRepresents the center of gravity height score, beta represents the angle between the back and the ground in the sagittal plane of the human body, beta₁Is the angle between the back of the ski coach and the ground, beta₂Is the angle between the back of the ski amateur and the ground, beta₃The angle beta between the back of the skier and the ground₄The included angle between the back of the person without skiing experience and the ground is measured in degrees;

step 4.5: and (4) carrying out segmentation grading on the included angle between the maximum upper body inclination angle and the vertical axis on the human coronal plane when the trainees with the four grades acquired in the step (4.1) rotate, and calculating to obtain an upper body stability segmentation grading formula

Wherein S is_γThe score of the upper body stability is shown, gamma is shown on the coronal plane of the human body, the included angle between the maximum inclination angle of the upper body and the vertical axis is 0-gamma when the skier coach does the rotary motion₁Within the range, the angle between the maximum inclination angle of the upper body of the skiing amateur and the vertical axis is gamma₁-γ₂Within the range, the included angles between the maximum inclination angle of the upper body and the vertical axis of the skiers and the non-skiers are all larger than gamma₃In degrees;

step 4.6: and 4, carrying out segmentation grading on the included angle between the thigh and the shank on the sagittal plane of the human body when the trainees of the four grades collected in the step 4.1 rotate, and calculating to obtain a segmentation grading formula of the posture of the lower limb

Wherein S is_θThe marking is shown in the lower limb posture, theta represents the included angle between the thigh and the shank of the human body on the sagittal plane, and the included angle between the thigh and the shank of the skiing trainer is theta₁-θ₂Within the range; the angle between thigh and shank of the ski amateur is theta₂-θ₃Within the range; the angle between thigh and shank of the skier beginner is theta₃-θ₄Within the range; the angle between thigh and shank of the inexperienced person is theta₄-θ₅Within the range, the units are degrees.

5. A method of assessing movement of a ski training platform as claimed in claim 4, wherein: the fifth step is to realize that the method is that,

step 5.1: extracting six standard sliding characteristics of a skiing trainer, and respectively recording the six standard sliding characteristics as y according to the sequence of the characteristics₁，y₂，y₃，y₄，y₅，y₆Extracting the sliding characteristics of any skier, and respectively marking as x according to the sequence₁，x₂，x₃，x₄，x₅，x₆The six characteristics of the coach and the skier are normalized by adopting a linear function normalization method, so that the characteristics are mapped to [0,1 ]]Within the range, the linear normalization formula is shown as the following formula;

step 5.2: comparing the action closeness of the skier and the ski trainer by adopting a weighted Euclidean distance method for the six characteristics extracted in the step 5.1, wherein a similarity measurement formula is shown as the following formula;

wherein, W_iFor each feature corresponding weight, Y_iFor the normalized characteristic data of the coach, X_iNormalized feature data of any skier;

step 5.3: performing linear fitting according to the similarity measurement result of 5.2, wherein the feature data of the skiing coach is 100 points, the feature data of the skiing hobbyist is 80 points, the feature data of the skiing beginner is 60 points, and the feature data of the non-skiing experiencer is 40 points to obtain a final comprehensive scoring formula

S＝-60d+100

Wherein S is the composite score and d is the similarity measurement result.

6. A method of assessing movement of a ski training platform as claimed in claim 5, wherein: in step 5.2, W₁＝W₄＝W₅＝W₆＝0.2，W₂＝W₃＝0.1。

7. A motion guidance method for a ski training platform, comprising the motion evaluation method for a ski training platform according to claim 1, 2, 3, 4, 5 or 6, wherein: and step six, aiming at the five different technical scores of the gliding data given in the step four and the comprehensive score given in the step five, dividing the movement of the skier on the ski training platform into three areas, and combining the five different technical scores of the gliding data given in the step four and the comprehensive score given in the step five with the action guidance formula of the corresponding area to respectively carry out real-time targeted training guidance on the skier in each area.

8. A method of guiding movements suitable for use with a ski training platform as claimed in claim 7, wherein: the sixth realization method comprises the following steps of,

step 6.1: dividing the movement of a skier on the ski training platform into three areas, namely a left turning area, a right turning area and a middle area; the left gyration region is a distance from the skateboard to the front 30% of the left side of the skiing instrument, the right gyration region is a distance from the skateboard to the front 30% of the right side of the skiing instrument, and the middle region is a residual region excluding the left gyration region and the right gyration region;

step 6.2: aiming at the three areas divided in the step 6.1, according to the five different technical scores of the taxiing data given in the step four and the comprehensive score given in the step five, combining the action guidance formulas of the corresponding areas, and respectively carrying out real-time targeted training guidance on a trainer in each area;

left turn around area

Wherein alpha is_1lThe maximum inclination angle of the sliding plate in the rotation period of the ski trainer in the left rotation area is shown, and the included angle range between the thigh and the shank of the ski trainer on the sagittal plane in the left rotation area is theta_1l-θ_2l；

Region of right turn

Wherein alpha is_1rThe maximum inclination angle of the skateboard in the rotation period of the ski trainer in the right rotation area is shown, and the included angle range between the thigh and the shank on the sagittal plane of the ski trainer in the right rotation area is theta_1r-θ_2r；

Middle area

Wherein, beta₁Representing the angle of the back to the ground, gamma, on the sagittal plane of the ski coach in the middle area₁Indicating upper body inclination angle in cyclic rotation of ski trainerThe angle between the angle and the vertical axis, the angle between the thigh and the shank of the skiing coach in the sagittal plane of the middle area is theta_1m-θ_2m。

9. A motion estimation and motion guidance method for a ski training platform, comprising the motion estimation method for a ski training platform according to claim 1, 2, 3, 4, 5 or 6, wherein: the method also comprises a seventh step of collecting four key data to improve the accuracy and comprehensiveness of the action evaluation of the trainer, and can realize real-time action guidance of the trainer on the ski training platform through real-time data display; the four key data are stored, so that a trainer can conveniently compare and analyze historical training data, and the action evaluation and action guidance efficiency and effect are improved;

the four key data comprise transmission data, technical data, scoring data and training guidance data; namely, aiming at the transmission data in the step two, the technical data in the step three, five different technical scores in the step four, the comprehensive score in the step five and the training guidance data in the step six.

10. A motion evaluation and motion guidance method for a ski training platform, according to claim 7, wherein: the method also comprises a seventh step of collecting four key data to improve the accuracy and comprehensiveness of the action evaluation of the trainer, and can realize real-time action guidance of the trainer on the ski training platform through real-time data display; the four key data are stored, so that a trainer can conveniently compare and analyze historical training data, and the action evaluation and action guidance efficiency and effect are improved.

Technical Field

The invention relates to a motion evaluation and motion guidance method suitable for a ski training platform, and belongs to the field of motion training evaluation guidance.

Background

According to survey, three short boards exist in the ice and snow industry at present in China: the participation of the masses is insufficient, the site construction is insufficient, and the professional talents are in short supply.

Low participation in skiing

The Chinese research and data center of the Chinese people university shows that only 3.9 percent of middle school students can accept the relevant courses of the ice and snow sports in schools, 14.9 percent of parents take children to participate in the ice and snow sports, and the participation proportion of professional ice and snow sports is not more than 5 percent. From the data, the participation degree of the masses in the ice and snow sports is far from enough.

Obvious limitation of outdoor skiing

Unlike other sports, skiing has many limitations in places, and the lack of a place for playing a sports field or even a place near a living place has become a significant cause of the inability of many people to participate in ice and snow sports in terms of time. The limitation of the field and the time influences the participation of common people in the skiing project, influences the training time of professional skiing sports, and greatly reduces the training efficiency of professional athletes.

Lack of scientific training for skiing

During skiing, the control of body posture and the control of foot exertion both affect the quality of skating, and therefore, body posture and sole pressure data can reflect the characteristics and level of a player during skiing. At present, in the training process of alpine skiing projects in China, a scientific guidance method for carrying out targeted training according to special sports characteristics is lacked, and the lack of scientific and systematic training can cause that athletes cannot master skills for improving abilities, and wrong muscle memory and sliding habits are easily caused, so that the athletes cannot reach the international top level.

In order to reduce the limitation of the skiing field, various skiing training platforms help athletes to train indoors, but the devices only provide a revolving sliding platform, do not provide relevant data display and technical analysis for the athletes, and the athletes cannot visually recognize the difference of the abilities among the skiing training platforms and the places needing to be promoted. Taking the ski training platform developed by schotty, germany as an example, the device provides training for professional skiers in various countries, and can also be equipped with a VR system, but cannot provide technical analysis related to skiing.

Patent document CN201810723314.2 provides an intelligent skiing monitoring system and skiing data monitoring method, which can analyze the maximum speed, average speed, duration of skiing, skiing mileage, etc. of outdoor skiing, but this patent also has some defects, such as only being used for snowboarding, not being applied to snowboarding, and not being used for posture detection of the whole body and data statistics and analysis about sole pressure during skiing.

Disclosure of Invention

The invention discloses a motion evaluation and motion guidance method suitable for a ski training platform, which aims to solve the technical problems that: the action evaluation to the trainer on the skiing training platform can be realized, and the following advantages are provided: (1) the method comprises the steps of collecting four key data of a skiing trainer in the skiing process, and fusing the four key data to improve the accuracy of action evaluation of the trainer; (2) comprehensive, detailed and rapid technical data analysis is provided for the skiing trainers, and the training efficiency of the skiing trainers is improved; (3) the targeted scoring method is provided in real time aiming at five technologies capable of reflecting the skiing level of a trainer, wherein the five technologies are respectively the rotation speed, the maximum rotation inclination angle, the gravity height, the upper body stability and the lower limb posture, and the comprehensiveness of action evaluation is improved. (4) through extracting six characteristics of the trainer on the skiing training platform, the characteristics are cycle rotation speed, the maximum left rotation inclination angle in the cycle, the included angle between the back and the ground on the human sagittal plane, the back inclination angle range on the human coronal plane and the included angle between the thigh and the shank on the human sagittal plane, the characteristics are normalized, a weighted Euclidean distance method and the characteristics of the professional skiing trainer are adopted for similarity measurement, the similarity measurement result is subjected to linear fitting to obtain the final comprehensive evaluation, the comprehensive action evaluation of the trainer is realized, and the evaluation is more accurate due to the fusion of the six characteristics.

In addition, on the basis of realizing the action evaluation suitable for the ski training platform, the action evaluation and action guidance method suitable for the ski training platform disclosed by the invention can also solve the following technical problems: according to the skiing action evaluation method, the skiing training platform is divided into three areas, and real-time training guidance is realized for a trainer in each area.

The invention discloses a motion evaluation and motion guidance method suitable for a ski training platform, which is characterized in that four kinds of key data are collected to improve the accuracy and comprehensiveness of motion evaluation of a trainer, and real-time motion guidance of the trainer on the ski training platform can be realized through real-time data display; the four key data are stored, so that a trainer can conveniently compare and analyze historical training data, and the action evaluation and action guidance efficiency and effect are improved.

The purpose of the invention is realized by the following technical scheme.

The invention discloses a motion evaluation method suitable for a ski training platform, which comprises the following steps:

the method comprises the following steps: four kinds of data of collection skiing training person on skiing training platform, the training platform is smooth desktop type training platform or race platform formula training platform, four kinds of data are respectively: human body posture data, sole pressure data, distance data between the sliding plate and the two ends of the skiing training platform, and sliding plate inclination angle data. The distance measuring module is used for measuring the distance between the sliding plate of the trainer and the two sides of the training platform, the inclination angle detecting module is used for measuring the inclination angles of the two sliding plates of the skier, the sole pressure detecting insole is used for detecting the sole pressure of the skier, and the human body posture detecting module is used for detecting the postures of all parts of the human body.

The two distance measuring modules are respectively arranged at two ends of the training platform and used for measuring the distance between the sliding plate and two sides of the training platform; the two inclination angle detection modules are respectively arranged at the rear ends of the left and right sliding plates and used for measuring the inclination angles of the two sliding plates; the two sole pressure detection insoles are respectively placed in the two snowshoes and used for detecting sole pressure; the human body posture detection comprises 10 nodes, wherein the wearing parts are a left shoulder, a right shoulder, a left upper arm, a right upper arm, a back, a hip, a left thigh, a right thigh and a left shank respectively, and data collected by each node comprise a pitch angle, a yaw angle and a roll angle.

Step two: and D, transmitting the four data in the step one to a server.

Step three: analyzing the four data transmitted in the second step, and giving out technical data useful for the trainer in real time, wherein the technical data comprises: left and right turning radius, left and right turning times, average turning time, turning speed in a period, maximum force application of left and right feet in a turning period and maximum inclination angle of the left and right sliding plates.

Step 3.1: and (4) solving a left turning radius or a right turning radius, namely the distance between the leftmost end and the middle of the sliding table or the distance between the rightmost end and the middle of the sliding table, which can be reached by the trainer in one turning period, according to the distance data between the sliding plate of the trainer and the two ends of the skiing training table transmitted in the step two. And calculating the turning radius of the trainer according to the distance data of the two ends of the ski board and the ski training platform of the ski trainer.

Step 3.2: and (4) calculating the left and right rotation times of the trainer according to the distance data between the ski board of the skiing trainer and the two ends of the skiing training platform transmitted in the step two. The left turn refers to the complete process of the trainer sliding from the middle of the training table to the left end of the training table and then returning to the middle of the training table. The right turn refers to the complete process of the trainer sliding from the middle of the training table to the right end of the training table and then returning to the middle of the training table.

Step 3.3: and (3) timing the revolution times obtained in the step (3.2) to obtain average left-right revolution time, namely the time required for completing one left revolution motion or the time required for completing one right revolution motion.

Step 3.4: and 3, calculating the revolution time obtained in the step 3.3 and the distance data between the ski board of the ski trainer and the two ends of the ski training platform to obtain the revolution speed in the period, namely the average speed of the trainer completing one left revolution and one right revolution. The average velocity is expressed as follows

Wherein v is the average revolution speed in meters per second, r, for completing one revolution period_lRadius of left turn in meters, r_rThe radius of gyration is shown on the right in meters and t represents the time taken to complete a complete revolution in seconds.

Step 3.5: and calculating to obtain the maximum force of the left foot and the right foot of the trainer completing the return movement in one period according to the pressure data obtained by the sole pressure measuring module.

Step 3.6: and calculating to obtain the maximum inclination angle of the sliding plate for the trainer to finish one period of rotary motion according to the inclination angle of the sliding plate of the trainer obtained by the inclination angle measuring module.

Step four: the method comprises the steps of dividing grades of trainees sliding on a skiing training platform according to skiing skills, respectively recording five technical scores of gliding data of the trainees at corresponding grades, respectively fitting or grading in a segmented mode according to the technical scores of the five gliding data of the trainees, and calculating to obtain a corresponding gliding data scoring formula. The gliding data are respectively the rotating speed, the maximum rotating inclination angle, the included angle between the back and the ground on the sagittal plane of the human body, the included angle between the maximum upper body inclination angle and the vertical axis on the coronal plane of the human body and the included angle between the thigh and the shank on the sagittal plane of the human body. The five kinds of taxi data correspond to five scores respectively. The five scores are respectively a rotation speed score, a rotation maximum inclination angle score, a gravity height score, an upper body stability score and a lower limb posture score.

Step 4.1: the trainers who slide on the ski training platform are classified into four classes, namely, a ski trainer, a ski hobbyist, a ski beginner, and a skiless experiential. Recording five kinds of gliding data of the trainees in four grades respectively, wherein the gliding data respectively comprise a rotation speed, a rotation maximum inclination angle, an included angle between the back and the ground on a sagittal plane of a human body, an included angle between a maximum upper body inclination angle and a vertical axis on a coronal plane of the human body, and an included angle between thighs and shanks on the sagittal plane of the human body.

Step 4.2: fitting the revolving speeds of the trainees in the four grades acquired in the step 4.1, and calculating to obtain a speed scoring formula

Wherein S is_vRepresenting a slew velocity score, v representing a slew mean velocity, v₁Average speed, v, for a ski coach to complete a cycle of revolutions₂Average speed, v, for a ski amateur to complete a cycle of rotation₃Average speed, v, for a ski beginner to complete a cycle of turns₄The average speed of one revolution period is completed for the non-skiers.

Step 4.3: fitting the maximum gyration dip angles of the trainees in the four grades collected in the step 4.1, and calculating to obtain a maximum gyration dip angle scoring formula

Wherein S is_αRepresenting the velocity score, alpha representing the maximum inclination of gyration, alpha₁For ski coaches performing a maximum inclination, alpha, of the rotary movement₂For the ski amateur to perform a maximum pitch angle, alpha, of the rotary movement₃For the ski beginner to perform a rotary movement with a maximum inclination angle alpha₄The maximum inclination angle of the rotary motion is finished by a person without skiing experience and the unit is degree.

Step 4.4: the included angle between the back and the ground on the sagittal plane of the human body when the trainees of the four middle grades collected in the step 4.1 revolve is graded in a segmentation way, and the gravity center height segmentation grading formula is obtained through calculation

Wherein S is_βRepresents the center of gravity height score, beta represents the angle between the back and the ground in the sagittal plane of the human body, beta₁Is the angle between the back of the ski coach and the ground, beta₂Is the angle between the back of the ski amateur and the ground, beta₃The angle beta between the back of the skier and the ground₄The angle between the back of the person without skiing and the ground is measured in degrees.

Step 4.5: and 4, carrying out segmentation grading on the included angle between the maximum upper body inclination angle and the vertical axis on the human coronal plane when the trainees with the four grades acquired in the step 4.1 rotate, and calculating to obtain an upper body stability segmentation grading formula

Wherein S is_γThe score of the upper body stability is shown, gamma is shown on the coronal plane of the human body, the included angle between the maximum inclination angle of the upper body and the vertical axis is 0-gamma when the skier coach does the rotary motion₁Within the range, the angle between the maximum inclination angle of the upper body of the skier and the vertical axis is gamma₁-γ₂Within the range, the included angles between the maximum inclination angle of the upper body and the vertical axis of the skiers and the non-skiers are all larger than gamma₃In degrees.

Step 4.6: and 4, carrying out segmentation grading on the included angle between the thigh and the shank on the sagittal plane of the human body when the trainees of the four grades collected in the step 4.1 rotate, and calculating to obtain a segmentation grading formula of the posture of the lower limb

Wherein S is_θExpressed in lower extremity posture score, theta is expressed in body vectorThe included angle between the thigh and the shank on the surface and the included angle between the thigh and the shank of the skiing coach are theta₁-θ₂Within the range; the angle between thigh and shank of the ski amateur is theta₂-θ₃Within the range; the angle between thigh and shank of the skier beginner is theta₃-θ₄Within the range; the angle between thigh and shank of the inexperienced person is theta₄-θ₅Within the range, the units are degrees.

Step five: and step four, providing technical scores aiming at five different sliding data, which can embody the level of a trainer, and extracting six characteristics of the whole body of the trainer in step five in order to improve the accuracy of the scores, wherein the characteristics are respectively the periodic rotation speed, the maximum left gyration inclination angle in the period, the included angle between the back and the ground on the sagittal plane of the human body, the range of the inclination angle between the back and the ground on the coronal plane of the human body, and the included angle between the thigh and the shank on the sagittal plane of the human body. And carrying out normalization processing on the six features, carrying out similarity measurement on the features of the professional skiers by adopting a weighted Euclidean distance method, and carrying out linear fitting on similarity measurement results to obtain final comprehensive scores so as to realize comprehensive action evaluation on the trainers. Compared with the step four of respectively grading five technologies, the comprehensive grading method in the step five integrates six characteristic data, so that the grading is more accurate.

Step 5.1: extracting six standard sliding characteristics of a skiing trainer, and respectively recording the six standard sliding characteristics as y according to the sequence of the characteristics₁，y₂， y₃，y₄，y₅，y₆Extracting the sliding characteristics of any skier, and respectively marking as x according to the sequence₁，x₂，x₃，x₄，x₅，x₆The six characteristics of the coach and the skier are normalized by adopting a linear function normalization method, so that the characteristics are mapped to [0,1 ]]In the range, the linear normalization formula is shown as follows.

Step 5.2: and (3) comparing the action closeness of the skier and the ski trainer by adopting a weighted Euclidean distance method for the six characteristics extracted in the step 5.1, wherein a similarity measurement formula is shown as the following formula.

Wherein, W_iFor each feature corresponding weight, Y_iFor the normalized characteristic data of the coach, X_iAnd (4) normalizing the characteristic data of any skier.

Preferably, in step 5.2, W₁＝W₄＝W₅＝W₆＝0.2，W₂＝W₃＝0.1。

Step 5.3: performing linear fitting according to the similarity measurement result of 5.2, wherein the feature data of the skiing coach is 100 points, the feature data of the skiing hobbyist is 80 points, the feature data of the skiing beginner is 60 points, and the feature data of the non-skiing experiencer is 40 points to obtain a final comprehensive scoring formula

S＝-60d+100

Wherein S is the composite score and d is the similarity measurement result.

The invention also discloses a motion guidance method suitable for the ski training platform, which comprises the following steps of: aiming at the different technical scores of the five kinds of the gliding data given in the step four and the comprehensive score given in the step five, the movement of the skier on the ski training platform is divided into three areas, and the action guidance formula of the corresponding area is combined according to the different technical scores of the five kinds of the gliding data given in the step four and the comprehensive score given in the step five to respectively carry out real-time targeted training guidance on the skier in each area.

Step 6.1: dividing the movement of a skier on the ski training platform into three areas, namely a left turning area, a right turning area and a middle area; the left turning area is the distance between the skateboard and the front 30% of the left side of the skiing instrument, the right turning area is the distance between the skateboard and the front 30% of the right side of the skiing instrument, and the middle area is the remaining area excluding the left turning area and the right turning area.

Step 6.2: aiming at the three areas divided in the step 6.1, according to the five different technical scores of the taxiing data given in the step four and the comprehensive score given in the step five, and by combining the action guidance formulas of the corresponding areas, the training guidance of the trainee is carried out in real time and pertinently in each area.

Left turn around area

Wherein alpha is_1lShows the maximum inclination angle of the skateboard in the rotation period of the skiing trainer in the left rotation area, and the included angle range between the thigh and the shank on the sagittal plane of the skiing trainer in the left rotation area is theta_1l-θ_2l。

Region of right turn

Wherein alpha is_1rThe maximum inclination angle of the skateboard in the rotation period of the ski trainer in the right rotation area is shown, and the included angle range between the thigh and the shank on the sagittal plane of the ski trainer in the right rotation area is theta_1r-θ_2r。

Middle area

Wherein, beta₁Representing the angle of the back to the ground, gamma, on the sagittal plane of the ski coach in the middle area₁Indicating skiingThe included angle between the upper body inclination angle and the vertical axis in the periodic rotary motion of the trainer, and the included angle between the thigh and the shank of the skiing trainer on the sagittal plane in the middle area is theta_1m-θ_2m。

The invention discloses a motion evaluation and motion guidance method suitable for a ski training platform, which comprises the following steps of: the accuracy and comprehensiveness of the action evaluation of the trainer can be improved by collecting four kinds of key data, and the real-time action guidance of the trainer on the ski training platform can be realized through real-time data display; and the four key data can be stored to facilitate the trainee to compare and analyze historical training data, so that the action evaluation and action guidance efficiency and effect are improved.

The four key data comprise transmission data, technical data, scoring data and training guidance data; namely, aiming at the transmission data in the step two, the technical data in the step three, five different technical scores in the step four, the comprehensive score in the step five and the training guidance data in the step six.

Has the advantages that:

1. the invention discloses a motion evaluation and motion guidance method suitable for a skiing training platform, which comprises the steps of collecting four data of human body posture data, sole pressure data, distance data of a skateboard and two ends of the skiing training platform and skateboard inclination angle data of a skiing trainer on the skiing training platform, analyzing the four transmitted data, and giving technical data useful for the trainer in real time; classifying the trainees sliding on the snow sliding training platform according to the skiing skills of the trainees, respectively recording the technical scores of the five sliding data of the trainees at the corresponding levels, respectively fitting or grading each sliding data record in a segmented manner according to the technical scores of the five sliding data of the trainees, and calculating to obtain a corresponding sliding data grading formula; the method comprises the steps of grading the trainees sliding on the skiing training platform according to skiing skills, respectively recording five kinds of technical scores of sliding data of the trainees at corresponding grades, respectively fitting or grading each kind of sliding data record according to the technical scores of the five kinds of sliding data of the trainees in a segmented mode, and calculating to obtain a corresponding sliding data scoring formula, so that the trainees can conveniently and pertinently improve five different sliding skills.

2. The invention discloses a motion evaluation and motion guidance method suitable for a ski training platform, which is based on the realization of beneficial effect 1, combines extracted six characteristics of the whole body of a trainer according to technical scores and corresponding gliding data scoring formulas which can embody the level of the trainer and are given for five different gliding data, performs normalization processing on the six characteristics, performs similarity measurement with the characteristics of a professional skier by adopting a weighted Euclidean distance method, and performs linear fitting on a similarity measurement result to obtain a final comprehensive score, thereby realizing the comprehensive motion evaluation of the trainer. Six kinds of characteristic data are fused through a comprehensive scoring method, so that scoring is more accurate.

3. The invention discloses a motion evaluation and motion guidance method suitable for a skiing training platform, which is used for dividing the motion of a skier on the skiing training platform into three regions aiming at five different technical scores and comprehensive scores of gliding data, summing up motion guidance formulas of corresponding regions by combining test and actual measurement data accumulation, and carrying out real-time targeted training guidance on the skier in each region according to the given different technical scores and comprehensive scores of the five gliding data and combining the motion guidance formulas of the corresponding regions.

4. According to the action evaluation and action guidance method suitable for the ski training platform, the accuracy and comprehensiveness of the action evaluation of a trainer can be improved by collecting four kinds of key data, and the real-time action guidance of the trainer on the ski training platform can be realized by real-time data display; and the four key data can be stored to facilitate the comparison and analysis of historical training data by a trainer, so that the action evaluation and action guidance efficiency and effect are improved.

Drawings

FIG. 1 is a schematic flow chart of a method for motion estimation and motion guidance for a ski training platform according to the present invention;

FIG. 2 is a system diagram of a method for motion estimation and motion guidance for a ski training platform according to the present invention;

FIG. 3 is a schematic diagram of a system for ski-training a ski-bob-based ski training platform according to the present invention;

FIG. 4 is a schematic diagram of a system for a running board-based ski training platform according to the present invention;

FIG. 5 is a functional diagram of the upper computer of the present invention.

Detailed Description

For a better understanding of the objects and advantages of the present invention, reference should be made to the following detailed description taken in conjunction with the accompanying drawings and examples.

As shown in fig. 1 and fig. 2, the action evaluation method suitable for the ski training platform disclosed in this embodiment includes the following specific implementation steps:

the method comprises the following steps: four kinds of data of a skiing trainer on a skiing training platform are collected, the training platform can be a sliding platform type training platform (figure 3) and a running platform type training platform (figure 4), and the four kinds of data are respectively: human body posture data, sole pressure data, distance data between the sliding plate and the two ends of the skiing training platform, and sliding plate inclination angle data. Adopt distance measurement module to measure the distance of training person's slide and training platform both sides, adopt inclination detection module to measure the inclination of two slides of skier, adopt plantar pressure detection shoe-pad to detect the plantar pressure of skiing training person, adopt human gesture detection module to detect the gesture of human each position.

The two distance measuring modules are respectively arranged at two ends of the training platform and used for measuring the distance between the sliding plate and two sides of the training platform; the two inclination angle detection modules are respectively arranged at the rear ends of the left and right sliding plates and used for measuring the inclination angles of the two sliding plates; the two sole pressure detection insoles are respectively placed in the two snowshoes and used for detecting sole pressure; the human body posture detection comprises 10 nodes, wherein the wearing parts are a left shoulder, a right shoulder, a left upper arm, a right upper arm, a back, a hip, a left thigh, a right thigh and a left shank respectively, and data collected by each node comprise a pitch angle, a yaw angle and a roll angle.

Step two: and D, transmitting the four data in the step one to a server.

Step three: analyzing the four data transmitted in the second step, and giving out technical data useful for the trainer in real time, wherein the technical data comprises: left and right turning radius, left and right turning times, average turning time, turning speed in a period, maximum force application of left and right feet in a turning period and maximum inclination angle of the left and right sliding plates.

Step 3.1: and (4) solving the left (right) turning radius, namely the distance between the leftmost (right) end which can be reached by the trainer and the middle of the sliding table in one turning period according to the distance data between the sliding plate of the trainer and the two ends of the skiing training table transmitted in the step two. And calculating the turning radius of the trainer according to the distance data of the two ends of the ski board and the ski training platform of the ski trainer.

Step 3.2: and (4) calculating the left and right rotation times of the trainer according to the distance data between the ski board of the skiing trainer and the two ends of the skiing training platform transmitted in the step two. The left turn refers to the complete process of the trainer sliding from the middle of the training table to the left end of the training table and then returning to the middle of the training table. The right turn refers to the complete process of the trainer sliding from the middle of the training table to the right end of the training table and then returning to the middle of the training table.

Step 3.3: and (3) timing the revolution times obtained in the step (3.2) to obtain average left-right revolution time, namely the time required for completing one left revolution motion or the time required for completing one right revolution motion.

Step 3.4: and 3, calculating the revolution time obtained in the step 3.3 and the distance data between the ski board of the ski trainer and the two ends of the ski training platform to obtain the revolution speed in the period, namely the average speed of the trainer completing one left revolution and one right revolution. The average velocity is expressed as follows

Wherein v is the average revolution speed in meters per second, r, for completing one revolution period_lRadius of left turn in meters, r_rThe radius of gyration is shown on the right in meters and t represents the time taken to complete a complete revolution in seconds.

Step 3.5: and calculating to obtain the maximum force of the left foot and the right foot of the trainer completing one period of rotary motion according to the pressure data obtained by the sole pressure measuring module.

Step 3.6: and calculating to obtain the maximum inclination angle of the sliding plate for the trainer to finish one period of rotary motion according to the inclination angle of the sliding plate of the trainer obtained by the inclination angle measuring module.

Step four: every time a trainer makes a rotary motion on a skiing training platform, the embodiment gives five scores of the rotary motion in real time, the five scores are respectively one hundred aiming at five different technologies capable of reflecting the capabilities of the trainer, and the five scores are respectively a rotary speed score, a rotary maximum inclination angle score, a gravity height score, an upper body stability score and a lower limb posture score. The specific scoring procedure is as follows:

step 4.1: the trainers who slide on the ski training platform are classified into four classes, namely, a ski trainer, a ski hobbyist, a ski beginner, and a skiless experiential. Recording five kinds of gliding data of the trainees in four grades respectively, wherein the gliding data respectively comprise a rotation speed, a rotation maximum inclination angle, an included angle between the back and the ground on a sagittal plane of a human body, an included angle between a maximum upper body inclination angle and a vertical axis on a coronal plane of the human body, and an included angle between thighs and shanks on the sagittal plane of the human body.

Step 4.2: fitting the revolving speeds of the trainees in the four grades acquired in the step 4.1, and calculating to obtain a speed scoring formula

Wherein S is_vRepresenting a slew velocity score, v representing a slew mean velocity, v₁Average speed, v, for a ski coach to complete a cycle of revolutions₂Average speed, v, for a ski amateur to complete a cycle of rotation₃Average speed, v, for a ski beginner to complete a cycle of turns₄The average speed of one revolution period is completed for the non-skiers.

Step 4.3: fitting the maximum gyration dip angles of the trainees in the four grades collected in the step 4.1, and calculating to obtain a maximum gyration dip angle scoring formula

Wherein S is_αRepresenting the velocity score, alpha representing the maximum inclination of gyration, alpha₁For ski coaches performing a maximum inclination, alpha, of the rotary movement₂For the ski amateur to perform a maximum pitch angle, alpha, of the rotary movement₃For the ski beginner to perform a rotary movement with a maximum inclination angle alpha₄The maximum inclination angle of the rotary motion is finished by a person without skiing experience and the unit is degree.

Step 4.4: the included angle between the back and the ground on the sagittal plane of the human body when the trainees of the four middle grades collected in the step 4.1 revolve is graded in a segmentation way, and the gravity center height segmentation grading formula is obtained through calculation

Wherein S is_βRepresents the center of gravity height score, beta represents the angle between the back and the ground in the sagittal plane of the human body, beta₁Is the angle between the back of the ski coach and the ground, beta₂Is the angle between the back of the ski amateur and the ground, beta₃The angle beta between the back of the skier and the ground₄The angle between the back of the person without skiing and the ground is measured in degrees.

Step 4.5: and 4, carrying out segmentation grading on the included angle between the maximum upper body inclination angle and the vertical axis on the human coronal plane when the trainees with the four grades acquired in the step 4.1 rotate, and calculating to obtain an upper body stability segmentation grading formula

Wherein S is_γThe score of the upper body stability is shown, gamma is shown on the coronal plane of the human body, the included angle between the maximum inclination angle of the upper body and the vertical axis is 0-gamma when the skier coach does the rotary motion₁Within the range, the angle between the maximum inclination angle of the upper body of the skier and the vertical axis is gamma₁-γ₂Within the range, the included angles between the maximum inclination angle of the upper body and the vertical axis of the skiers and the non-skiers are all larger than gamma₃In degrees.

Step 4.6: and 4, carrying out segmentation grading on the included angle between the thigh and the shank on the sagittal plane of the human body when the trainees of the four grades collected in the step 4.1 rotate, and calculating to obtain a segmentation grading formula of the posture of the lower limb

Wherein S is_θThe marking is shown in the lower limb posture, theta represents the included angle between the thigh and the shank of the human body on the sagittal plane, and the included angle between the thigh and the shank of the skiing trainer is theta₁-θ₂Within the range; the angle between thigh and shank of the ski amateur is theta₂-θ₃Within the range; the angle between thigh and shank of the skier beginner is theta₃-θ₄Within the range; the angle between thigh and shank of the inexperienced person is theta₄-θ₅Within the range, the units are degrees.

Step five: and step four, providing technical scores aiming at five different sliding data, which can embody the level of a trainer, and extracting six characteristics of the whole body of the trainer in step five in order to improve the accuracy of the scores, wherein the characteristics are respectively the periodic rotation speed, the maximum left gyration inclination angle in the period, the included angle between the back and the ground on the sagittal plane of the human body, the range of the inclination angle between the back and the ground on the coronal plane of the human body, and the included angle between the thigh and the shank on the sagittal plane of the human body. And carrying out normalization processing on the six features, carrying out similarity measurement on the features of the professional skiers by adopting a weighted Euclidean distance method, and carrying out linear fitting on similarity measurement results to obtain final comprehensive scores so as to realize comprehensive action evaluation on the trainers. Compared with the step four of respectively grading five technologies, the comprehensive grading method in the step five integrates six characteristic data, so that the grading is more accurate.

Step 5.1: extracting six standard sliding characteristics of a skiing trainer, and respectively recording the six standard sliding characteristics as y according to the sequence of the characteristics₁，y₂， y₃，y₄，y₅，y₆Extracting the sliding characteristics of any skier, and respectively marking as x according to the sequence₁，x₂，x₃，x₄，x₅，x₆The six characteristics of the coach and the skier are normalized by adopting a linear function normalization method, so that the characteristics are mapped to [0,1 ]]In the range, the linear normalization formula is shown as follows.

Step 5.2: and (3) comparing the action closeness of the skier and the ski trainer by adopting a weighted Euclidean distance method for the six characteristics extracted in the step 5.1, wherein a similarity measurement formula is shown as the following formula.

Wherein, W_iFor each feature corresponding weight, Y_iFor the normalized characteristic data of the coach, X_iAnd (4) normalizing the characteristic data of any skier. W₁＝W₄＝W₅＝W₆＝0.2，W₂＝W₃＝0.1。

Step 5.3: performing linear fitting according to the similarity measurement result of 5.2, wherein the feature data of the skiing coach is 100 points, the feature data of the skiing hobbyist is 80 points, the feature data of the skiing beginner is 60 points, and the feature data of the non-skiing experiencer is 40 points to obtain a final comprehensive scoring formula

S＝-60d+100

Wherein S is the composite score and d is the similarity measurement result.

The embodiment also discloses a motion guidance method suitable for the ski training platform, which comprises the following steps of: aiming at the five different technical scores of the gliding data given in the step four and the comprehensive score given in the step five, the movement of the skier on the ski training platform is divided into three areas, and the action guidance formula of the corresponding area is combined according to the five different technical scores of the gliding data given in the step four and the comprehensive score given in the step five to respectively carry out real-time targeted training guidance on the skier in each area.

Step 6.1: the skier's movement on the ski training platform is divided into three areas, a left turn area (the distance of the ski from the front 30% of the left side of the ski), a right turn area (the distance of the ski from the front 30% of the right side of the ski), and a middle area (the remaining area excluding the left and right turn areas)

Step 6.2: corresponding guidance suggestions are respectively given for the three areas divided by 6.1.

Left turn around area

Wherein alpha is_1lThe maximum inclination angle of the sliding plate in the rotation period of the ski trainer in the left rotation area is shown, and the included angle range between the thigh and the shank of the ski trainer on the sagittal plane in the left rotation area is theta_1l-θ_2l。

Region of right turn

Wherein alpha is_1rThe maximum inclination angle of the skateboard in the rotation period of the ski trainer in the right rotation area is shown, and the included angle range between the thigh and the shank on the sagittal plane of the ski trainer in the right rotation area is theta_1r-θ_2r。

Middle area

Wherein, beta₁Representing the angle of the back to the ground, gamma, on the sagittal plane of the ski coach in the middle area₁The included angle between the upper body inclination angle and the vertical axis in the periodic back motion of the skiing trainer is shown, and the included angle between the thigh and the shank on the sagittal plane of the skiing trainer in the middle area is theta_1m-θ_2m。

The method for evaluating and guiding actions of a ski training platform disclosed in this embodiment includes the first to fifth steps of the method for evaluating actions of a ski training platform, or includes the first to sixth steps of the method for guiding actions of a ski training platform, and further includes the seventh step of: and (3) programming an upper computer, aiming at the transmission data in the step two, the technical data in the step three, the five different technical scores in the step four, the comprehensive score in the step five and the training guidance in the step six, displaying all the data in the upper computer, and storing all the data, so that a trainer can conveniently perform history comparative analysis, wherein a functional diagram of the upper computer is shown in an attached figure 5.

The above detailed description is intended to illustrate the objects, aspects and advantages of the present invention, and it should be understood that the above detailed description is only exemplary of the present invention and is not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like within the spirit and principle of the present invention should be included in the scope of the present invention.