Warning method and system for basketball training actions

Abstract

The invention discloses a warning method and system for basketball training actions, and relates to the field of basketball training intelligent analysis. According to the warning method and system for basketball training actions, physical sign data of athletes are collected, targeted dynamic models conforming to the athletes are established for the different athletes, a trajectory parabolic equation of a basketball is established according to the dynamic models, and therefore a standardized pitching parabola conforming to the shooting of the athletes is calculated; then, a high-precision motion camera is adopted to capture the figure movement of the athlete during shooting and the running track of the basketball, the force exerting condition of the athlete and the flying speed of the basketball during shooting are obtained through a sensor, comparison and analysis are carried out in combination with actual parabolic model data of the basketball, and technical point defects existing in the shooting process are analyzed; and an alarm is given in real time, so that an athlete is helped to carry out real-time dynamic adjustment in the shooting practice process, and the device has the characteristics of high efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of basketball training intelligent analysis, and in particular to a warning method and system for basketball training actions. Background Art

[0002] In the traditional basketball training process, the coach usually observes the athlete's shooting performance, and then provides guidance and suggestions on the athlete's shooting action and strength based on the observed images and the coach's own experience, thereby helping the basketball player to train his shooting action.

[0003] However, in the actual training process, the actual training results are too dependent on the coach's experience, and often problems cannot be discovered in the first time, resulting in athletes being unable to make adjustments quickly and effectively, thereby affecting the overall performance. At the same time, for athletes of different heights and body shapes, effective adaptive adjustments cannot be made, resulting in some differentiated athletes being unable to match training movements that are suitable for them. For this purpose, a warning method and system for basketball training movements are specially provided. Summary of the Invention

[0004] In response to the deficiencies in the prior art, the present invention provides a warning method and system for basketball training movements, which solves the problem that during actual training, the actual training results are overly dependent on the coach's experience, and problems are often not discovered in the first time, resulting in athletes being unable to make adjustments quickly and effectively, thereby affecting the overall performance. At the same time, for athletes of different heights and body shapes, effective adaptive adjustments cannot be made, resulting in some differentiated athletes being unable to match training movements suitable for them.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a warning method for basketball training actions, which designs a shooting model and then records the athlete's shooting scenes to capture dynamic information, calculates the optimal flight trajectory of the basketball based on the shooting point position, compares it with the actual data, and sets the parabola fixed point height thresholds Hmax and Hmin, as well as the basketball terminal speed thresholds Vmax and Vmin;

[0006] First, the actual pitching result is analyzed to determine whether it touches the rim. If the basketball does not touch the rim, the trajectory deflection analysis is performed. If deflection occurs, it indicates that there is a problem with the athlete's pitching posture, and a pitching posture error warning is output. If no deflection occurs, the actual parabola's highest point height is analyzed. If Hmin < H1 < Hmax, a warning of too little pitching force is given; if H1 > Hmax, a warning of too much pitching angle is given; if H1 < Hmin, a warning of too little pitching angle and too little force is given.

[0007] If the basketball touches the rim, the terminal velocity of the basketball is judged. If Vmin<V1<Vmax, the next step is judged. If HminHmax, a pitch angle is too large and the pitch force is too strong warning is given.<h1>

[0008] If the basketball touches the rim and H1 < Hmin, a warning is given that the pitching angle is too small; if V1 > Vmax, a warning is given that the pitching force is too great; if V1 < Vmin, a warning is given that the pitching angle is too great.

[0009] Preferably, the process of analyzing the athlete's shooting action using the shooting model includes the following steps:

[0010] Step 1: Obtain athlete's physical data, including static data and dynamic data;

[0011] Step 2: Design a standard shooting model based on athlete data;

[0012] Step 3: Capture the athlete's pitching action data;

[0013] Step 4: Obtain the athlete's pitching force data;

[0014] Step 5: Record the basketball parabola data;

[0015] Step 6: Compare and analyze the athlete's throwing parabola with the model parabola;

[0016] Step 7: Output analysis results and issue warnings.

[0017] Preferably, in step one, the athlete's static data acquisition includes height, weight, three-dimensional, arm span, and palm size data; the athlete's dynamic data acquisition includes jumping height, movement speed, arm strength, and finger strength data, and real-time athlete physical sign data is acquired through regular physical tests.

[0018] Preferably, in step 2, when designing the shooting standard model, the following steps are included:

[0019] S1. Establish the parabolic equation of the basketball trajectory;

[0020]

[0021] Combine the shooting point height h0 and the basket height h t Calculate the optimal shooting angle

[0022]

[0023] S2. Importing the athlete's static data and dynamic data obtained in step 1 into the model database;

[0024] S3, using inertial sensors to capture the coordination of lower limb pushing force, trunk twisting speed and upper limb pushing;

[0025] S4. Establish a dynamic adjustment mechanism based on the static and dynamic data of different athletes, set the standard height S1 and the standard arm span length L1; for every 10cm difference between the athlete's height and the standard height, the shooting angle is ±3 degrees; through the formula F mar =0.3×arm span+0.7×grip strength; thus dynamically adjusting the force;

[0026] Based on the above, a set of dynamically adjustable models of athletes' standardized shooting posture and shooting strength are established.

[0027] Preferably, during steps three, four and five, high-precision motion cameras are installed at the training ground to capture images of the basketball and the athlete's posture; at the same time, wearable sensor equipment is set on the athlete's body to monitor the athlete's foot force, arm force and finger force during the shooting process; and an inertial sensor is installed in the basketball to monitor the running speed of the basketball, so as to obtain various data during the training process in real time.

[0028] Preferably, in the process of comparing and analyzing the athlete's throwing parabola with the model parabola, a high-precision motion camera is used to capture the entire trajectory of the basketball from the moment it leaves the athlete's hand. At the same time, the running speed and rotation speed of the basketball are obtained by the inertial sensor inside the basketball. The shape of the entire parabola is displayed through graphical comparison, including the height of the parabola's highest point, the distance from the basketball when the parabola reaches the highest point, the parabola's deflection angle, and the running speed of the basketball.

[0029] Preferably, when analyzing the pitching results, when the basketball does not touch the rim and the overall parabolic trajectory is skewed, the athlete's posture when pitching is first analyzed using a high-precision motion camera. The following problems exist;

[0030] 1. Determine whether the standing direction is not facing the basket when shooting, causing the body to twist and disrupt the direction of power chain transmission;

[0031] Second, determine whether the upper limbs are forced to overexert when the push-off force is insufficient, causing elbow abduction and wrist swing, resulting in lateral rotation of the ball or deviation from the midline;

[0032] 3. Determine whether the elbow and arm joints of the upper limbs are twisted when the hand is raised;

[0033] 4. Determine whether the wrist is excessively pronated or everted during shooting, resulting in incomplete contact with the basketball.

[0034] Preferably, when the basketball has not touched the rim and the overall parabolic trajectory is skewed, if the athlete's posture analysis is correct, the wearable sensor equipment on the athlete's body can monitor whether uneven force exerted by the legs when pushing off the ground, uneven force exerted by multiple fingers when flicking the ball, and failure of the ball-guarding hand to separate from the basketball at the correct time cause interference with the parabolic trajectory of the basketball.

[0035] Preferably, when comparing and analyzing the actual parabola with the model parabola during the pitching process, when the basketball does not touch the basket and the parabola does not deflect, the parabola vertex height and the basketball terminal speed are analyzed, and different warning contents are given according to different situation performances, so as to help athletes continuously correct the force angle and force magnitude during the pitching process.

[0036] Preferably, a warning system for basketball training movements comprises:

[0037] A vision module, which is used to control multiple high-precision motion cameras to capture images of basketballs and athletes;

[0038] The sensor module is used to centrally control sensors installed on the athlete's body and the basketball to obtain various force data;

[0039] The analysis module is used to process and analyze the data obtained by the vision module and the sensor module, and compare it with the standard shooting model to analyze the technical problems existing in the shooting;

[0040] The output module includes language output and picture output, which is used to output the comparison model of the basketball parabola and the standard parabola in real time, and output the warning content through voice.

[0041] The present invention discloses a warning method and system for basketball training movements, which have the following beneficial effects:

[0042] 1. This warning method for basketball training movements collects the athlete's physical data to establish a targeted dynamic model that suits different athletes. Then, based on the dynamic model, a parabolic equation for the basketball's trajectory is established to calculate a standardized pitching parabola that suits the athlete's shooting. A high-precision sports camera is then used to capture the athlete's body movements and the basketball's trajectory during shooting. The sensor obtains the athlete's force during shooting and the basketball's flight speed. The actual parabola of the basketball is then compared and analyzed with the model data. Based on the different conditions of the parabola, the method analyzes the technical deficiencies in the pitching process and issues real-time warnings, thereby helping athletes make real-time dynamic adjustments during shooting practice. This method is highly efficient and accurate.

[0043] 2. The warning system for basketball training movements includes a visual module, a sensor module, an analysis module and an output module. The visual module and the sensor module are used to collect dynamic data captured by the visual camera and sensor in real time and transmit the data to the analysis module for processing and analysis, thereby effectively executing data processing during the training process and outputting different alarm contents through the output module according to the data processing results, so as to quickly and effectively judge the results of the pitching training and analyze the problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a flow chart of the warning method for basketball training movements of the present invention;

[0046] Figure 2 This is a flow chart for analyzing and judging the pitching parabola and the model parabola of the present invention;

[0047] Figure 3 This is a functional framework diagram of the warning system for basketball training movements according to the present invention. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0049] The embodiments of the present application provide a warning method and system for basketball training movements, thereby solving the problem of over-reliance on the coach's experience for actual training results during actual training. Problems often cannot be discovered immediately, resulting in athletes being unable to make adjustments quickly and effectively, which in turn affects the overall performance. At the same time, for athletes of different heights and body shapes, effective adaptive adjustments cannot be made, resulting in some differentiated athletes being unable to match training movements that are suitable for them.

[0050] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0051] Example 1

[0052] This embodiment discloses a warning method and system for basketball training movements.

[0053] According to the attached Figure 1-3 As shown in the figure, by designing a shooting model and then recording the athlete's shooting screen to capture dynamic information, the optimal flight trajectory of the basketball is given according to the position of the shooting point, and compared with the actual data, and the parabola fixed point height thresholds Hmax and Hmin, as well as the basketball terminal speed thresholds Vmax and Vmin are set;

[0054] First, the actual pitching result is analyzed to determine whether it touches the rim. If the basketball does not touch the rim, the trajectory deflection analysis is performed. If deflection occurs, it indicates that there is a problem with the athlete's pitching posture, and a pitching posture error warning is output. If no deflection occurs, the actual parabola's highest point height is analyzed. If Hmin < H1 < Hmax, a warning of too little pitching force is given; if H1 > Hmax, a warning of too much pitching angle is given; if H1 < Hmin, a warning of too little pitching angle and too little force is given.

[0055] If the basketball touches the rim, the terminal velocity of the basketball is judged. If Vmin<V1<Vmax, the next step is judged. If HminHmax, a pitch angle is too large and the pitch force is too strong warning is given.<h1>

[0056] If the basketball touches the rim and H1 < Hmin, a warning is given that the pitching angle is too small; if V1 > Vmax, a warning is given that the pitching force is too great; if V1 < Vmin, a warning is given that the pitching angle is too great.

[0057] The process of analyzing an athlete's shooting action using a shooting model includes the following steps:

[0058] Step 1: Obtain athlete's physical data, including static data and dynamic data;

[0059] Step 2: Design a standard shooting model based on athlete data;

[0060] Step 3: Capture the athlete's pitching action data;

[0061] Step 4: Obtain the athlete's pitching force data;

[0062] Step 5: Record the basketball parabola data;

[0063] Step 6: Compare and analyze the athlete's throwing parabola with the model parabola;

[0064] Step 7: Output analysis results and issue an alert.

[0065] In step one, the athlete's static data includes height, weight, three-dimensional, arm span, and palm size data; the athlete's dynamic data includes jump height, movement speed, arm strength, and finger strength data. Real-time athlete vital sign data is obtained through regular physical tests.

[0066] In step 2, when designing the shooting standard model, the following steps are included:

[0067] S1. Establish the parabolic equation of the basketball trajectory;

[0068]

[0069] Combine the shooting point height h0 and the basket height h t Calculate the optimal shooting angle

[0070]

[0071] S2. Importing the athlete's static data and dynamic data obtained in step 1 into the model database;

[0072] S3, using inertial sensors to capture the coordination of lower limb pushing force, trunk twisting speed and upper limb pushing;

[0073] S4. Establish a dynamic adjustment mechanism based on the static and dynamic data of different athletes, set the standard height S1 and the standard arm span length L1; for every 10cm difference between the athlete's height and the standard height, the shooting angle is ±3 degrees; through the formula F mar =0.3×arm span+0.7×grip strength; thus dynamically adjusting the force;

[0074] Based on the above, a set of dynamically adjustable models of athletes' standardized shooting posture and shooting strength are established.

[0075] During steps three, four, and five, high-precision motion cameras are installed at the training grounds to capture images of the basketball and the athletes' postures. Wearable sensor devices are also installed on the athletes' bodies to monitor the force exerted by their feet, arms, and fingers during the shooting process. In addition, inertial sensors are installed in the basketball to monitor its running speed, thereby obtaining various data during the training process in real time.

[0076] In the process of comparing and analyzing the athlete's throwing parabola with the model parabola, a high-precision motion camera is used to capture the entire trajectory of the basketball from the moment it leaves the athlete's hand. At the same time, the basketball's running speed and rotation speed are obtained by the inertial sensor inside the basketball. Through graphical comparison, the shape of the entire parabola is displayed, including the height of the parabola's highest point, the distance from the basketball when the parabola reaches the highest point, the parabola's deflection angle, and the basketball's running speed.

[0077] When analyzing pitching results, if the basketball does not touch the rim and the overall parabolic trajectory is skewed, we first analyze the athlete's posture during the pitching process using a high-precision motion camera. The following problems exist:

[0078] 1. Determine whether the standing direction is not facing the basket when shooting, causing the body to twist and disrupt the direction of power chain transmission;

[0079] Second, determine whether the upper limbs are forced to overexert when the push-off force is insufficient, causing elbow abduction and wrist swing, resulting in lateral rotation of the ball or deviation from the midline;

[0080] 3. Determine whether the elbow and arm joints of the upper limbs are twisted when the hand is raised;

[0081] 4. Determine whether the wrist is excessively pronated or everted during shooting, resulting in incomplete contact with the basketball.

[0082] When the basketball does not touch the rim and the overall parabolic trajectory is skewed, if the athlete's posture analysis is correct, the wearable sensor equipment on the athlete's body can monitor whether the uneven force of the legs when pushing off the ground, the uneven force of multiple fingers when flicking the ball, and the failure of the ball guard to separate from the basketball at the correct time cause interference with the parabolic trajectory of the basketball.

[0083] When comparing and analyzing the actual parabola with the model parabola during the shooting process, when the basketball does not touch the basket and the parabola does not deflect, the height of the parabola apex and the speed of the basketball at the end are combined for analysis, and different warning contents are given according to different situation performances to help athletes continuously correct the force angle and force during the shooting process.

[0084] Working principle: In this embodiment, by designing a standard shooting model and collecting the athlete's physical data, which includes static data such as the athlete's height, weight, three dimensions, arm span, palm size, and dynamic data such as jumping height, moving speed, arm strength, and finger strength, a targeted dynamic model that suits different athletes is established. Then, based on the dynamic model, a parabolic equation of the basketball's trajectory is established to calculate a standardized shooting parabola that suits the athlete's shooting. Then, a high-precision sports camera is used to capture the athlete's body movements and the basketball's trajectory when shooting. The athlete's force and the basketball's flight speed during shooting are obtained through sensors, and compared with the model data in combination with the actual parabola of the basketball. According to the different situations of the parabola, the technical deficiencies in the shooting process are analyzed, and real-time warnings are given, thereby helping athletes to make real-time dynamic adjustments during shooting practice, which is efficient and accurate.

[0085] Example 2

[0086] This embodiment discloses a warning system for basketball training movements, such as Figure 1-3 As shown, including:

[0087] A vision module, which is used to control multiple high-precision motion cameras to capture images of basketballs and athletes;

[0088] The sensor module is used to centrally control sensors installed on the athlete's body and the basketball to obtain various force data;

[0089] The analysis module is used to process and analyze the data obtained by the vision module and the sensor module, and compare it with the standard shooting model to analyze the technical problems existing in the shooting;

[0090] The output module includes language output and picture output, which is used to output the comparison model of the basketball parabola and the standard parabola in real time, and output the warning content through voice.

[0091] Working principle: In this embodiment, a warning system for basketball training movements is proposed. In this system, a visual module, a sensing module, an analysis module and an output module are included. The visual module and the sensing module are used to collect dynamic data captured by the visual camera and the sensor in real time and transmit the data to the analysis module for processing and analysis, thereby effectively executing data processing in the training process, and outputting different warning contents through the output module according to the data processing results, so as to quickly and effectively judge the pitching training results and analyze problems.

[0092] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A warning method for basketball training movements, characterized in that: By designing a shooting model and then recording the athlete's shooting scenes to capture dynamic information, the optimal flight trajectory of the basketball is determined based on the shooting point position. This is then compared with the actual data, and the parabola fixed point height thresholds Hmax and Hmin, as well as the basketball terminal speed thresholds Vmax and Vmin, are set. First, the actual pitching result is analyzed to determine whether it touches the rim. If the basketball does not touch the rim, the trajectory deflection analysis is performed. If deflection occurs, it indicates that there is a problem with the athlete's pitching posture, and a pitching posture error warning is output. If no deflection occurs, the actual parabola's highest point height is analyzed. If Hmin < H1 < Hmax, a warning of too little pitching force is given; if H1 > Hmax, a warning of too much pitching angle is given; if H1 < Hmin, a warning of too little pitching angle and too little force is given. If the basketball touches the rim, the terminal velocity of the basketball is judged. If Vmin<V1<Vmax, the next step is judged. If Hmin<H1<Hmax, a pitch pass warning is given. If H1>Hmax, a pitch angle is too large and the pitch force is too strong warning is given. If the basketball touches the rim and H1 < Hmin, a warning is given that the pitching angle is too small; if V1 > Vmax, a warning is given that the pitching force is too great; if V1 < Vmin, a warning is given that the pitching angle is too great.

2. A method for warning basketball training movements according to claim 1, characterized in that: The process of analyzing an athlete's shooting action using a shooting model includes the following steps: Step 1: Obtain athlete's physical data, including static data and dynamic data; Step 2: Design a standard shooting model based on athlete data; Step 3: Capture the athlete's pitching action data; Step 4: Obtain the athlete's pitching force data; Step 5: Record the basketball parabola data; Step 6: Compare and analyze the athlete's throwing parabola with the model parabola; Step 7: Output analysis results and issue warnings.

3. A method for warning basketball training movements according to claim 2, characterized in that: In step one, the athlete's static data includes height, weight, three-dimensional, arm span, and palm size data; the athlete's dynamic data includes jump height, movement speed, arm strength, and finger strength data. Real-time athlete vital sign data is obtained through regular physical tests.

4. The method for warning basketball training movements according to claim 2, characterized in that: In step 2, when designing the shooting standard model, the following steps are included: S1. Establish the parabolic equation of the basketball trajectory; Combine the shooting point height h0 and the basket height h t Calculate the optimal shooting angle S2. Importing the athlete's static data and dynamic data obtained in step 1 into the model database; S3, using inertial sensors to capture the coordination of lower limb pushing force, trunk twisting speed and upper limb pushing; S4. Establish a dynamic adjustment mechanism based on the static and dynamic data of different athletes, set the standard height S1 and the standard arm span length L1; for every 10cm difference between the athlete's height and the standard height, the shooting angle is ±3 degrees; through the formula F mar =0.3×arm span+0.7×grip strength; Thus dynamically adjusting the force; Based on the above, a set of dynamically adjustable models of athletes' standardized shooting posture and shooting strength are established.

5. The method for warning basketball training movements according to claim 2, characterized in that: During steps three, four, and five, high-precision motion cameras are installed at the training grounds to capture images of the basketball and the athletes' postures. Wearable sensor devices are also installed on the athletes' bodies to monitor the force exerted by their feet, arms, and fingers during the shooting process. In addition, inertial sensors are installed in the basketball to monitor its running speed, thereby obtaining various data during the training process in real time.

6. The method for warning basketball training movements according to claim 5, characterized in that: In the process of comparing and analyzing the athlete's throwing parabola with the model parabola, a high-precision motion camera is used to capture the entire trajectory of the basketball from the moment it leaves the athlete's hand. At the same time, the basketball's running speed and rotation speed are obtained by the inertial sensor inside the basketball. Through graphical comparison, the shape of the entire parabola is displayed, including the height of the parabola's highest point, the distance from the basketball when the parabola reaches the highest point, the parabola's deflection angle, and the basketball's running speed.

7. The method for warning basketball training movements according to claim 5, characterized in that: When analyzing pitching results, if the basketball does not touch the rim and the overall parabolic trajectory is skewed, we first analyze the athlete's posture during the pitching process using a high-precision motion camera. The following problems exist:

1. Determine whether the standing direction is not facing the basket when shooting, causing the body to twist and disrupt the direction of power chain transmission; Second, determine whether the upper limbs are forced to overexert when the push-off force is insufficient, causing elbow abduction and wrist swing, resulting in lateral rotation of the ball or deviation from the midline; 3. Determine whether the elbow and arm joints of the upper limbs are twisted when the hand is raised; 4. Determine whether the wrist is excessively pronated or everted during shooting, resulting in incomplete contact with the basketball.

8. The method for warning basketball training movements according to claim 7, characterized in that: When the basketball does not touch the rim and the overall parabolic trajectory is skewed, if the athlete's posture analysis is correct, the wearable sensor equipment on the athlete's body can monitor whether the uneven force of the legs when pushing off the ground, the uneven force of multiple fingers when flicking the ball, and the failure of the ball guard to separate from the basketball at the correct time cause interference with the parabolic trajectory of the basketball.

9. The method for warning basketball training movements according to claim 6, characterized in that: When comparing and analyzing the actual parabola with the model parabola during the shooting process, when the basketball does not touch the basket and the parabola does not deflect, the height of the parabola apex and the speed of the basketball at the end are combined for analysis, and different warning contents are given according to different situation performances to help athletes continuously correct the force angle and force during the shooting process.

10. A warning system for basketball training movements, used to execute the warning method for basketball training movements according to any one of claims 1 to 9, characterized in that: include: A vision module, which is used to control multiple high-precision motion cameras to capture images of basketballs and athletes; The sensor module is used to centrally control sensors installed on the athlete's body and the basketball to obtain various force data; The analysis module is used to process and analyze the data obtained by the vision module and the sensor module, and compare it with the standard shooting model to analyze the technical problems existing in the shooting; The output module includes language output and picture output, which is used to output the comparison model of the basketball parabola and the standard parabola in real time, and output the warning content through voice.

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