A leg-stretching exercise bar for music and dance teaching

Abstract

The present invention provides a leg-stretching exercise bar for music and dance teaching, which belongs to the field of music and dance teaching tools, and comprises two adjustable support frames, the top ends of the two adjustable support frames are both provided with connecting rods, one side of the surface of the two connecting rods is provided with a first screw hole, one end of one of the connecting rods is fixedly connected with the first screw rod, and one end of the other connecting rod is provided with a second screw hole, and the opposite sides of the two connecting rods are provided with a crossbar mechanism, and a plurality of the crossbar mechanisms are mutually threadedly connected. The crossbar mechanism is supported by the adjustable support frame, and when the crossbar mechanisms are assembled together, they can also be connected by means of an adjustment mechanism, the adjustable support frame controls the height of all the crossbar mechanisms, and when the adjustment is made by means of the adjustment mechanism, the height of some crossbar mechanisms can be adjusted to meet the height requirements of different people and improve the applicability of the leg-stretching exercise bar.

Description

Technical Field

[0001] The invention relates to the field of music and dance teaching tools, in particular to a leg-stretching exercise bar for music and dance teaching. Background Art

[0002] In dance training, using the leg stretching bar to stretch the legs is an important basic skill training. The leg stretching bar can help dancers achieve a deeper stretching effect, especially when performing difficult or large-scale leg stretching movements. The leg stretching bar can serve as an auxiliary tool to help dancers gradually stretch their leg muscles and ligaments. The leg stretching bar can also make it easier for dancers to master the correct leg stretching posture and movement essentials, avoiding incorrect movement patterns during training. At the same time, it can provide dancers with a stable support point to help them maintain balance during the leg stretching process and reduce accidental injuries caused by body instability.

[0003] When a leg stretching bar is needed for leg stretching training, students' height conditions or learning time may be different, resulting in different heights of leg stretching bars that students can use during the leg stretching process. If the space available for dance training is limited, the leg stretching bars are short or few in number and cannot meet the needs of all students, leg stretching bars with uniform height cannot meet the requirements of different students, affecting students' normal leg stretching training.

[0004] Therefore we propose a kind of exercise leg-pressing bar used for music and dance teaching, to solve the above-mentioned problems encountered. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a leg-stretching exercise bar for music and dance teaching to solve the problems raised in the above-mentioned background technology.

[0006] The object of the present invention can be achieved through the following technical scheme: a leg stretching exercise bar for music and dance teaching, comprising two adjustable support frames, the top ends of the two adjustable support frames are each provided with a connecting rod, one side of the surface of the two connecting rods is provided with a first screw hole, one end of one of the connecting rods is fixedly connected to the first screw rod, and one end of the other connecting rod is provided with a second screw hole, a cross bar mechanism is provided on the opposite side of the two connecting rods, and a plurality of cross bar mechanisms are threadedly connected to each other, wherein the two cross bar mechanisms at the ends are respectively installed with the two connecting rods, a display warning device is fixedly installed on the surface of the cross bar mechanism, an adjustment mechanism is provided between the cross bar mechanisms, the adjustment mechanism comprises a fourth screw rod, and the upper and lower ends of the fourth screw rod are each provided with a connecting block, and the middle of the opposite side of the two connecting blocks is provided with a fourth screw hole, one side of one of the connecting blocks is provided with a fifth screw hole, and the other side of the other connecting block is fixedly connected with the fifth screw, and also includes:

[0007] The data collection module is used to collect the training data of the training personnel in each monitoring period within the corresponding monitoring period, and obtain the training data of the training personnel in each monitoring period within the corresponding monitoring period;

[0008] The leg-pressing posture analysis module is used to analyze the leg-pressing posture of the trainee in the corresponding monitoring period to obtain the leg-pressing posture evaluation index of the trainee in the corresponding monitoring period;

[0009] The leg-pressing speed analysis module is used to analyze the leg-pressing speed of the trainee in the corresponding monitoring period to obtain the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period;

[0010] The qualified exercise data analysis module is used to comprehensively analyze the leg press posture evaluation index and the leg press speed evaluation index of the trainee in the corresponding monitoring period, obtain the qualified exercise evaluation index of the trainee in the corresponding monitoring period, analyze the qualified exercise evaluation index of the trainee in the corresponding monitoring period, and analyze the qualified exercise of the trainee in the corresponding monitoring period;

[0011] The display warning module is used to display the training health of the training personnel in the corresponding monitoring period. If the training health of the training personnel in the corresponding monitoring period is abnormal, the corresponding warning is activated.

[0012] Furthermore, the training data of the training personnel in each monitoring period in the corresponding monitoring period is collected to obtain the training data of the training personnel in each monitoring period in the corresponding monitoring period, including:

[0013] At the beginning of each monitoring period, the camera continuously shoots and records the training process of the trainees; the image data in each training cycle is marked to identify the data of each cycle;

[0014] Acquire the breathing sound of the trainee during the exercise, and mark the audio data in each exercise cycle so that the breathing sound corresponds to the image data in time;

[0015] Convert the image data into a grayscale image, set the size of the Gaussian kernel and the standard deviation of the Gaussian function according to the grayscale image; apply the filter to each pixel point and its neighborhood in the grayscale image through

[0016] Perform convolution operation to obtain the filtered pixel value, and combine all the pixel values ​​after filtering to form a filtered image ,in, The value range is between; is the output image at coordinates The pixel value at and represents the pixel position in the image, is the weight value of the Gaussian kernel at the relative coordinate, is the relative coordinate of the traversal Gaussian kernel, is the radius of the Gaussian kernel;

[0017] For each pixel in the filtered image, use the Sobel operator to calculate its horizontal and vertical gradient strength and gradient direction. The gradient strength indicates the strength of the edge, and the gradient direction indicates the direction of the edge. Traverse each pixel in the image and obtain the point on the edge according to its gradient direction and gradient strength.

[0018] Two thresholds are set, a first threshold and a second threshold, and the gradient intensity is compared with the first threshold and the second threshold, and the pixel points above the first threshold are determined as edges, and the pixel points below the second threshold are determined as non-edges, so as to obtain an edge image;

[0019] The recorded audio data is preprocessed and the characteristic parameters in the breathing audio are extracted using audio analysis technology.

[0020] Furthermore, the recorded audio data is preprocessed and the characteristic parameters in the breathing audio are extracted using audio analysis technology, including:

[0021] The continuous audio data is divided into short frames, and each frame of audio data is processed by a Hamming window function to obtain processed audio data;

[0022] For each audio frame, calculate its short-time energy, calculate the short-time zero-crossing rate of each audio frame, perform fast Fourier transform on each frame of audio data, and convert it from time domain to frequency domain;

[0023] Calculate statistical features of the entire audio sequence data, including mean, standard deviation, maximum value, and minimum value.

[0024] Furthermore, the leg-pressing posture of the trainee in the corresponding monitoring period is analyzed to obtain the leg-pressing posture evaluation index of the trainee in the corresponding monitoring period, including:

[0025] Based on the training data of the trainees at each time period in the monitoring period, the training cycle period in each training period is determined; for each training cycle period, the human body contour data of the key training monitoring points is identified and extracted;

[0026] The human body contours of adjacent exercise monitoring points in each exercise period within each monitoring period are overlapped and compared, specifically: the human body contour of the current exercise monitoring point is compared with the human body contour of the previous exercise monitoring point, and the target overlap area of ​​adjacent exercise monitoring points in each exercise period within each monitoring period is obtained by calculating the area of ​​the overlapped part;

[0027] In each monitoring period, for the initial exercise monitoring point of each exercise period, extract its human body contour as the marked contour, overlap and compare the human body contour of the same exercise monitoring point in each subsequent exercise cycle in the monitoring period with the marked contour, and calculate the marked overlap area of ​​each exercise monitoring point and the marked contour in each exercise period in each monitoring period;

[0028] According to the target overlap area and the marked overlap area

[0029] Calculate the Leg Stretching Posture Assessment Index ,in, Indicates The target overlap weight for each practice cycle, Indicates The weight of the label overlap for each training cycle, Indicates The target overlap area for each practice cycle is Indicates The overlapping area of ​​the marks in the exercise cycle, represents the duration of the exercise cycle, is a constant; and Represents an index; Indicates the total number of practice cycles.

[0030] Furthermore, the leg-pressing speed of the trainee in the corresponding monitoring period is analyzed to obtain the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period, including:

[0031] Identify and classify the breathing phases of each breathing cycle of the trainee during each monitoring period;

[0032] Compare the decibel value of the breathing audio at each breathing stage with the preset normal breathing decibel value range, and if it exceeds the range, generate a breathing abnormality monitoring signal;

[0033] For abnormal breathing audio, the difference between its decibel value and the preset value is calculated, and combined with the duration of the leg press phase, the abnormal breathing decibel ratio is obtained;

[0034] Through video analysis technology, the leg-pressing phases of each leg-pressing cycle of the trainee in each monitoring period are identified and divided, and the exercise cycle speed of each leg-pressing phase is compared with the preset exercise speed range. If it is lower than the preset range, an exercise speed abnormality monitoring signal is generated;

[0035] For abnormal leg-pressing speed, the actual duration of the leg-pressing cycle is obtained and compared with the total duration of the leg-pressing stage to calculate the change coefficient of the leg-pressing speed;

[0036] The leg stretch speed evaluation index was calculated based on the change coefficient of the leg stretch speed and the abnormal breathing decibel ratio.

[0037] Furthermore, the calculation formula of the leg press speed evaluation index is:

[0038] ;

[0039] in, is a constant; represents the weight of leg press time, represents the breathing audio weight, Indicates the abnormal breathing decibel weight; Indicates the total duration of the leg-pressing phase, Indicates the actual duration of the leg press cycle; Indicates the actual decibel value of abnormal breathing audio. Indicates the preset normal breathing decibel value; , , represents the weight coefficient; Represents the base of the natural exponential.

[0040] Further, a comprehensive analysis is performed on the leg press posture evaluation index and the leg press speed evaluation index of the trainee in the corresponding monitoring period to obtain the exercise qualification evaluation index of the trainee in the corresponding monitoring period, the exercise qualification evaluation index of the trainee in the corresponding monitoring period is analyzed, and the exercise qualification of the trainee in the corresponding monitoring period is analyzed, including:

[0041] Compare the training personnel's practice qualification evaluation index of the corresponding monitoring period with the practice qualification evaluation index threshold. If the training personnel's practice qualification evaluation index of the corresponding monitoring period is ≥ the practice qualification evaluation index threshold, it is determined that the training personnel's practice qualification of the corresponding monitoring period is normal.

[0042] If the training personnel's practice qualification evaluation index for the corresponding monitoring period is less than the practice qualification evaluation index threshold, it is determined that the training personnel's practice qualification for the corresponding monitoring period is abnormal.

[0043] As a preferred practice, the evaluation index formula is:

[0044] ;

[0045] in, and The minimum and maximum values ​​of the leg press posture assessment index, and The mean and standard deviation of the coefficient of change of leg press speed, and is the weight coefficient; and is the index, is a constant.

[0046] Preferably, the cross bar mechanism includes a cross support rod, one end of which is fixedly connected to a third screw rod, the other end of which is provided with a sixth screw hole, a surface of which is provided with a third screw hole, and the bottom end thread of the second screw rod extends to the interior of the third screw hole.

[0047] Furthermore, the display warning device includes a bracket, a second screw at the bottom end of the bracket is threadedly mounted on the cross bar mechanism, a smart display screen is fixedly mounted on the top end of the bracket, and a camera is fixedly mounted on the surface of one side of the bracket.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. The crossbar mechanism is supported by an adjustable support frame, and when the crossbar mechanisms are assembled together, they can also be connected by means of an adjustment mechanism. The adjustable support frame controls the height of all crossbar mechanisms, and when the adjustment mechanism is used for adjustment, the height of some crossbar mechanisms can be adjusted to meet the height requirements of different people and improve the applicability of the leg press rod;

[0050] 2. By monitoring and analyzing the leg-stretching posture and speed of the trainees during the training, the degree of standardization of the trainees' leg-stretching training can be analyzed, thereby improving the effectiveness of the trainees' leg-stretching training and avoiding unqualified leg-stretching training movements of the trainees, resulting in inability to fully move the joints, and then causing injuries to the trainees during dancing. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to facilitate understanding by persons skilled in the art, the present invention is further described below in conjunction with the accompanying drawings.

[0052] Figure 1 It is a structural schematic diagram of an embodiment of a leg-stretching exercise bar for music and dance teaching provided by the present invention;

[0053] Figure 2 yes Figure 1 A schematic diagram of the structure of the connecting rod shown;

[0054] Figure 3 yes Figure 1 The structural schematic diagram of the crossbar mechanism shown;

[0055] Figure 4 yes Figure 1 The structural schematic diagram of the display warning device shown;

[0056] Figure 5 yes Figure 1The structural exploded diagram of the adjustment mechanism shown;

[0057] Figure 6 It is a system block diagram of the crossbar mechanism and the display warning device provided by the present invention when in use.

[0058] In the figure: 1. adjustable support frame; 2. connecting rod; 3. first screw hole; 4. first screw rod; 5. second screw hole; 6. cross bar mechanism; 61. cross support rod; 62. third screw rod; 63. sixth screw hole; 64. third screw hole; 7. display warning device; 71. bracket; 72. second screw rod; 73. smart display screen; 74. camera; 8. adjustment mechanism; 81. fourth screw rod; 82. connecting block; 83. fourth screw hole; 84. fifth screw hole; 85. fifth screw rod. DETAILED DESCRIPTION

[0059] The technical scheme of the present invention will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technical training personnel in the field without creative work are within the scope of protection of the present invention.

[0060] See also Figure 1 - Figure 6As shown, a leg-stretching exercise bar for music and dance teaching comprises two adjustable support frames 1, the tops of the two adjustable support frames 1 are both provided with connecting rods 2, one side of the surfaces of the two connecting rods 2 are both provided with first screw holes 3, one end of one of the connecting rods 2 is fixedly connected with a first screw rod 4, and one end of the other connecting rod 2 is provided with a second screw hole 5, a cross bar mechanism 6 is provided on the opposite side of the two connecting rods 2, and a plurality of the cross bar mechanisms 6 are threadedly connected to each other, wherein the two cross bar mechanisms 6 at the ends are respectively installed with the two connecting rods 2, a display warning device 7 is fixedly installed on the surface of the cross bar mechanism 6, an adjustment mechanism 8 is provided between the cross bar mechanisms 6, the adjustment mechanism 8 comprises a fourth screw rod 81, the upper and lower ends of the fourth screw rod 81 are both provided with connecting blocks 82, a fourth screw hole 83 is provided in the middle of the opposite side of the two connecting blocks 82, a fifth screw hole 84 is provided on one side of one of the connecting blocks 82, and a fifth screw hole 85 is fixedly connected to the other side of the other connecting block 82, and the two adjustable The side of the support frame 1 can be installed together with the wall. After multiple crossbar mechanisms 6 are assembled with each other, they can be installed together with two adjustable support frames 1 by relying on two connecting rods 2. After the threaded sleeve in the middle of the adjustable support frame 1 is rotated, the height of the crossbar mechanism 6 can be adjusted, which is convenient for the trainer to use. The display warning device 7 is assembled on the crossbar mechanism 6. When the leg press bar is used for training, the display warning device 7 is used in conjunction with the training to monitor the training process of the trainer in real time. The adjustment mechanism 8 is mostly used in two together. After being assembled with other crossbar mechanisms 6, the heights between the crossbar mechanisms 6 are different, which is convenient for trainers of different heights. The threads on the surface of the fourth screw rod 81 are symmetrically opened about the middle two ends of the screw rod. After rotating into the fourth screw hole 83, the distance between the two connecting blocks 82 can be adjusted. The fifth screw hole 84 and the fifth screw rod 85 can be connected to the crossbar mechanism 6, and in the process of using the adjustment mechanism 8, the orientation of the two connecting blocks 82 can be changed. The assembly shape of the crossbar mechanism 6 can be changed according to the shape of the music and dance classroom, and also includes:

[0061] The data collection module is used to collect the training data of the training personnel in each monitoring period within the corresponding monitoring period, and obtain the training data of the training personnel in each monitoring period within the corresponding monitoring period;

[0062] The leg-pressing posture analysis module is used to analyze the leg-pressing posture of the trainee in the corresponding monitoring period to obtain the leg-pressing posture evaluation index of the trainee in the corresponding monitoring period;

[0063] The leg-pressing speed analysis module is used to analyze the leg-pressing speed of the trainee in the corresponding monitoring period to obtain the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period;

[0064] The qualified exercise data analysis module is used to comprehensively analyze the leg press posture evaluation index and the leg press speed evaluation index of the trainee in the corresponding monitoring period, obtain the qualified exercise evaluation index of the trainee in the corresponding monitoring period, analyze the qualified exercise evaluation index of the trainee in the corresponding monitoring period, and analyze the qualified exercise of the trainee in the corresponding monitoring period;

[0065] The display warning module is used to display the training health of the training personnel in the corresponding monitoring period. If the training health of the training personnel in the corresponding monitoring period is abnormal, the corresponding warning is activated.

[0066] In the embodiment of the present invention, the data acquisition module is the basic part of the training monitoring system, which is responsible for collecting the training data of the trainees at each time period in the monitoring cycle, including the angle of leg pressing, breathing decibel, duration, etc., and capturing the data in real time through devices such as cameras and microphones, and converting them into digital signals for subsequent processing and analysis. After capturing these data, they can be uploaded to the storage device in the display warning device 7 for storage, and can also be uploaded to the cloud space to achieve real-time, accurate and comprehensive data collection, provide reliable basic data for subsequent analysis and evaluation, and be automated to reduce manual intervention and improve work efficiency.

[0067] The leg-pressing posture analysis module uses image processing or sensor technology to capture and analyze the trainer's leg-pressing posture in real time. By comparing it with the standard posture, the module can calculate the trainer's posture evaluation index, reflecting the accuracy and standardization of his leg-pressing posture, providing an objective evaluation of the trainer's leg-pressing posture, helping the trainer to correct bad postures and avoid sports injuries. Through the posture evaluation index, the trainer's leg-pressing effect can be quantified, providing a basis for adjusting the training plan;

[0068] The leg-pressing speed analysis module focuses on the speed changes of trainees during the leg-pressing process. The module calculates the average speed, acceleration and other parameters of the leg-pressing to obtain a speed evaluation index, which is used to reflect the trainees' ability to control the leg-pressing speed and evaluate whether the speed of the trainees' leg-pressing is appropriate to avoid sports injuries or poor results caused by too fast or too slow leg-pressing. The leg-pressing speed analysis module also helps trainees understand their speed control ability during the leg-pressing process and provide timely feedback for training.

[0069] The qualified exercise data analysis module is a comprehensive analysis of the leg-pressing posture evaluation index and the leg-pressing speed evaluation index. This module integrates the two evaluation indexes through algorithms or models to obtain a qualified exercise evaluation index, which is used to reflect the overall exercise effect of the trainees during the monitoring period, comprehensively evaluate the leg-pressing effect and exercise quality of the trainees, provide a scientific basis for the formulation and adjustment of training plans, and more intuitively understand the training progress and results of the trainees, which is convenient for managers to make decisions;

[0070] The display and warning module is the output part of the training monitoring system. It is responsible for displaying the analysis results to the user in an intuitive way. When the training personnel's exercise health status is abnormal, the module will activate the warning mechanism to remind the user through sound, light or text, and take corresponding measures to ensure training safety. It monitors the training personnel's exercise health status in real time, discovers potential risks in time and issues warnings. Through intuitive display methods, managers and training personnel can understand the training status in time and take corresponding measures to avoid sports injuries.

[0071] In a preferred embodiment of the present invention, the training data of the training personnel in each monitoring period in the corresponding monitoring cycle is collected to obtain the training data of the training personnel in each monitoring period in the corresponding monitoring cycle, including:

[0072] At the beginning of each monitoring period, the camera continuously shoots to record the training process of the trainees; the image data in each training cycle is marked to identify the data of each cycle; the continuous shooting of the camera can comprehensively and intuitively record the training process of the trainees, providing rich visual materials for subsequent action analysis and evaluation;

[0073] Acquire the breathing sounds of the trainees during the exercise, and mark the audio data in each exercise cycle so that the breathing sounds correspond to the image data in time; mark the image data and audio data in each exercise cycle to achieve the precise correspondence between the image and the breathing sounds in time, which makes it possible to conduct comprehensive analysis;

[0074] Convert the image data into a grayscale image, set the size of the Gaussian kernel and the standard deviation of the Gaussian function according to the grayscale image; apply the filter to each pixel point and its neighborhood in the grayscale image through

[0075] Perform convolution operation to obtain the filtered pixel value, and combine all the pixel values ​​after filtering to form a filtered image ,in, The value range is between; is the output image at coordinates The pixel value at and represents the pixel position in the image, is the weight value of the Gaussian kernel at the relative coordinate, is the relative coordinate of the traversal Gaussian kernel, is the radius of the Gaussian kernel;

[0076] For each pixel in the filtered image, use the Sobel operator to calculate its horizontal and vertical gradient strength and gradient direction. The gradient strength indicates the strength of the edge, and the gradient direction indicates the direction of the edge. Traverse each pixel in the image and obtain the point on the edge according to its gradient direction and gradient strength.

[0077] Two thresholds are set, a first threshold and a second threshold, and the gradient intensity is compared with the first threshold and the second threshold, and the pixel points above the first threshold are determined as edges, and the pixel points below the second threshold are determined as non-edges, so as to obtain an edge image;

[0078] The recorded audio data is preprocessed and the characteristic parameters in the breathing audio are extracted using audio analysis technology.

[0079] In the embodiment of the present invention, at the beginning of each monitoring period, continuous shooting is performed by a high-definition camera to record the entire training process of the trainee in detail in the form of video. Such shooting not only captures the details of the trainee's movements, but also provides temporal continuity, which is convenient for subsequent analysis and processing; it provides intuitive visual records, which helps trainers and managers review and analyze the training process, and provides rich materials for subsequent image processing and data analysis.

[0080] The image data in each exercise cycle is accurately marked, including the starting point, end point and key action nodes of the action. These marks help to match the image data with specific exercise cycles and actions; it is easy to divide and identify exercise cycles, improve the accuracy of data processing, and provide a basis for subsequent action analysis and evaluation.

[0081] The breathing sound of the trainee during the exercise is acquired through a highly sensitive microphone, and the audio data in each exercise cycle is synchronously marked. In this way, the breathing sound can accurately correspond to the image data in time; it provides a synchronous record of the breathing sound and the exercise action, which helps to analyze the coordination between breathing and action, and provides reliable data support for the subsequent breathing audio analysis;

[0082] Convert color images to grayscale images to simplify subsequent processing steps and reduce computational complexity. According to the brightness distribution of the grayscale image, dynamically adjust the size of the Gaussian kernel and the standard deviation of the Gaussian function to adapt to different image features; grayscale image processing reduces the amount of data and improves processing speed. Dynamically adjusting the Gaussian kernel parameters can better adapt to image features and improve processing effects.

[0083] The filter is convolved with each pixel in the grayscale image and its neighborhood to obtain the filtered pixel value. The dynamic weight is adjusted according to the brightness of the image at the location to affect the strength of the convolution result; the filtering process can remove noise and interference in the image and improve the image quality. The introduction of dynamic weights makes the filtering process more flexible and accurate.

[0084] Use the Sobel operator to calculate the horizontal and vertical gradient strength and gradient direction of each pixel in the filtered image. By traversing each pixel in the image, determine the point on the edge according to its gradient direction and gradient strength;

[0085] Set two thresholds, the first threshold and the second threshold, compare the gradient strength with the two thresholds, and determine the pixels above the first threshold as edges, and the pixels below the second threshold as non-edges. Through such settings, a clear edge image can be obtained; threshold setting can further remove redundant information in the image and highlight key features. By adjusting the threshold parameters, the sensitivity and accuracy of edge detection can be flexibly controlled.

[0086] The recorded audio data is preprocessed, including denoising, enhancement, and feature extraction. Audio analysis technology is used to extract characteristic parameters in the breathing audio, such as breathing frequency, breathing depth, etc. Preprocessing can improve the quality of audio data and the accuracy of subsequent analysis. The extraction of characteristic parameters provides basic data support for in-depth analysis of breathing audio.

[0087] In a preferred embodiment of the present invention, the recorded audio data is preprocessed, and characteristic parameters in the breathing audio are extracted using audio analysis technology, including:

[0088] The continuous audio data is divided into short frames, and each frame of audio data is processed by a Hamming window function to obtain processed audio data;

[0089] Splitting continuous audio data into short frames is for more detailed analysis. Since audio signals are non-stationary signals that change over time, after being split into short frames, it can be assumed that the signal in each frame is stationary, which facilitates subsequent processing; by splitting audio data and applying the Hamming window function, more accurate and reliable audio feature parameters can be obtained, providing a basis for subsequent analysis and recognition;

[0090] The Hamming window is used to smoothly truncate the two ends of the audio frame to reduce spectrum leakage. Spectral leakage means that when a signal is truncated in the time domain, its spectrum will spread in the frequency domain, resulting in inaccurate frequency components. The Hamming window function can effectively reduce this leakage and improve the accuracy of spectrum analysis; Hamming window processing can reduce spectrum leakage, reduce the sensitivity of characteristic parameters to noise and interference, and improve the robustness of the system;

[0091] For each audio frame, calculate its short-time energy, calculate the short-time zero-crossing rate of each audio frame, perform fast Fourier transform on each frame of audio data, and convert it from time domain to frequency domain;

[0092] Short-time energy refers to the sum of the squares of the signal amplitudes within a frame of audio data, which reflects the energy of the audio signal and can be used to detect the start and end positions of speech and distinguish between speech and non-speech segments; short-time zero-crossing rate refers to the number of times the signal passes through the zero value within a frame of audio data, which reflects the frequency characteristics of the audio signal and can be used to distinguish different types of audio signals, such as unvoiced and voiced sounds; by calculating the short-time energy and the short-time zero-crossing rate, the start and end positions of speech can be accurately detected, as well as speech and non-speech segments can be distinguished, providing an accurate time range for subsequent feature extraction and recognition. The two feature parameters, short-time energy and short-time zero-crossing rate, can enhance the feature representation of audio signals, making different types of audio signals more separable in the feature space and improving recognition accuracy.

[0093] Calculate statistical features of the entire audio sequence data, including mean, standard deviation, maximum value, and minimum value.

[0094] In an embodiment of the present invention, the fast Fourier transform (FFT) is an algorithm for efficiently calculating the discrete Fourier transform (DFT). It converts the audio signal from the time domain to the frequency domain to obtain the spectrum of the signal. The spectrum reflects the energy distribution of the signal at different frequencies, and can be used to analyze the frequency characteristics of the signal and calculate statistical features of the entire audio sequence data, including mean, standard deviation, maximum value, minimum value, etc. These statistical features can describe the overall characteristics and change trends of the audio signal, and provide useful information for subsequent analysis and recognition; through the fast Fourier transform, the spectrum of the audio signal can be obtained, and then the frequency characteristics and energy distribution of the signal can be analyzed. This is of great significance for identifying different types of audio signals (such as speech, music, noise, etc.). The statistical features can describe the overall characteristics and change trends of the audio signal, and provide global feature representation for tasks such as audio classification and clustering. These features play an important role in improving the recognition performance and generalization ability of the system.

[0095] In a preferred embodiment of the present invention, the leg-pressing posture of the trainee corresponding to the monitoring period is analyzed to obtain the leg-pressing posture evaluation index of the trainee corresponding to the monitoring period, including:

[0096] Based on the training data of the trainees in each period of the monitoring period, the training cycle period in each training period is determined; by collecting the training data of the trainees in the monitoring period, each training period can be accurately divided, and the training cycle period in each training period can be further determined, which is helpful for the subsequent accurate extraction and comparison of human body contour data, and the accurate division of the training cycle period provides a unified time benchmark for subsequent analysis, thereby improving the accuracy and reliability of the analysis;

[0097] For each exercise cycle, the human body contour data of key exercise monitoring points are identified and extracted; in each exercise cycle, key exercise monitoring points (such as the beginning, middle, and end of the leg stretching action) are selected, and the human body contour data of these monitoring points are extracted using image recognition technology. Extracting the human body contour data of key exercise monitoring points helps in the subsequent accurate analysis and evaluation of the leg stretching posture, and provides data support for posture correction and improvement.

[0098] The human body contours of adjacent exercise monitoring points in each exercise period within each monitoring period are overlapped and compared. Specifically, the human body contour of the current exercise monitoring point is compared with the human body contour of the previous exercise monitoring point, and the target overlap area of ​​adjacent exercise monitoring points in each exercise period within each monitoring period is obtained by calculating the area of ​​overlap of the human body contours of adjacent exercise monitoring points. The consistency and stability of the leg stretching posture are evaluated by calculating the overlap area of ​​the human body contours of adjacent exercise monitoring points. Through overlap comparison, the changes in the leg stretching posture of the trainees during continuous practice can be intuitively understood, which is helpful to discover posture deviations and unstable factors, and provide a basis for posture adjustment.

[0099] In each monitoring period, for the initial exercise monitoring point of each exercise period, its human body contour is extracted as the marked contour, and the human body contour of the same exercise monitoring point in each subsequent exercise cycle in the monitoring period is overlapped and compared with the marked contour, and the marked overlap area of ​​each exercise monitoring point and the marked contour in each exercise period in each monitoring period is calculated; with the human body contour of the initial exercise monitoring point as the benchmark, the maintenance of the leg stretching posture is evaluated by overlapping and comparing with the human body contours of other exercise monitoring points. By comparing the marked contours, the degree of maintenance of the leg stretching posture of the trainees during the entire monitoring period can be evaluated, which is helpful to discover the degradation of the posture and the room for improvement, and provide data support for the adjustment of the training plan.

[0100] According to the target overlap area and the marked overlap area

[0101] Calculate the Leg Stretching Posture Assessment Index ,in, Indicates The target overlap weight for each practice cycle, Indicates The weight of the label overlap for each training cycle, Indicates The target overlap area for each practice cycle is Indicates The overlapping area of ​​the marks in the exercise cycle, represents the duration of the exercise cycle, is a constant; and Represents an index; It represents the total number of exercise cycles; it takes into account multiple factors such as target overlap weight, mark overlap weight, overlap area and duration, aiming to comprehensively quantify the accuracy and stability of the practitioner's leg stretching posture, thereby providing a comprehensive evaluation index to help evaluate the practitioner's posture performance more objectively and accurately.

[0102] In a preferred embodiment of the present invention, the leg-pressing speed of the trainee corresponding to the monitoring period is analyzed to obtain the leg-pressing speed evaluation index of the trainee corresponding to the monitoring period, including:

[0103] Identify and divide the breathing phases of each breathing cycle of the trainees in each monitoring period; by monitoring the breathing audio signals of the trainees, use signal processing technology to identify and divide each breathing cycle and its different breathing phases (such as inhalation, exhalation, etc.). Accurate division of breathing phases provides a basis for subsequent analysis of breathing audio decibel values, which helps to evaluate the breathing conditions of trainees during leg stretching, and then reflect their physical condition and the coordination of leg stretching movements.

[0104] The breathing audio decibel value of each breathing stage is compared with the preset normal breathing decibel value range. If it exceeds the range, a breathing abnormality monitoring signal is generated; the preset normal breathing decibel value range is used to compare the breathing audio decibel value of each breathing stage one by one. If the breathing audio is found to be beyond the normal range, the breathing abnormality monitoring signal is triggered. Timely detection of breathing abnormalities helps prevent physical discomfort or sports injuries caused by poor breathing or excessive exertion, and provides timely feedback and warnings for trainers.

[0105] For abnormal breathing audio, the difference between its decibel value and the preset value is calculated, and combined with the duration of the leg stretching stage, the abnormal breathing decibel ratio is obtained; for breathing audio beyond the normal range, the difference between its decibel value and the preset value is further calculated, and weighted processing is performed on it in combination with the duration of the leg stretching stage to obtain the abnormal breathing decibel ratio. The abnormal breathing decibel ratio can comprehensively reflect the degree and duration of breathing abnormalities, provide quantitative indicators for evaluating the leg stretching speed and breathing coordination of trainees, and help to formulate more reasonable training plans.

[0106] Through video analysis technology, the leg-stretching stages of each leg-stretching cycle of the trainees in each monitoring period are identified and divided, and the exercise cycle speed of each leg-stretching stage is compared with the preset exercise speed range. If it is lower than the preset range, an exercise speed abnormality monitoring signal is generated; using video analysis technology, the leg-stretching movements of the trainees are captured and analyzed in real time, and each leg-stretching cycle and its different leg-stretching stages (such as starting, pressing down, holding, recovery, etc.) are identified and divided, which provides a basis for subsequent analysis of the leg-stretching speed, helps to evaluate whether the leg-stretching movements of the trainees are standardized, coherent and effective, and then guides them to make targeted improvements; at the same time, through the preset exercise speed range, the exercise cycle speed of each leg-stretching stage is compared one by one. If a speed value lower than the preset range is found, an exercise speed abnormality monitoring signal is triggered, and abnormal leg-stretching speed is discovered in time, which helps to prevent poor training effects or sports injuries caused by slow movements or insufficient strength, and provides timely feedback and adjustment suggestions for trainees.

[0107] For abnormal leg-pressing speed, the actual duration of the leg-pressing cycle is obtained and compared with the total duration of the leg-pressing stage to calculate the change coefficient of the leg-pressing speed; this coefficient can quantitatively reflect the degree and trend of change in leg-pressing speed, providing an important basis for evaluating the leg-pressing effect of trainers and improving training plans;

[0108] The leg stretch speed evaluation index is calculated based on the change coefficient of the leg stretch speed and the abnormal breathing decibel ratio. This index can comprehensively reflect the comprehensive performance of the trainees' leg stretch speed and breathing status during the monitoring period, providing a scientific basis for evaluating their training effects and formulating personalized training plans. It also helps to promptly discover and correct problems in training and improve training efficiency and safety.

[0109] In a preferred embodiment of the present invention, the calculation formula of the leg press speed evaluation index is:

[0110] ;

[0111] in, is a constant; represents the weight of leg press time, represents the breathing audio weight, Indicates the abnormal breathing decibel weight; Indicates the total duration of the leg-pressing phase, Indicates the actual duration of the leg press cycle; Indicates the actual decibel value of abnormal breathing audio. Indicates the preset normal breathing decibel value; , , represents the weight coefficient; Represents the bottom of the natural index; by quantifying these factors based on the weight of leg stretch time, breathing audio weight and the impact of abnormal breathing audio, we can have a more comprehensive understanding of the functional state of the respiratory system and comprehensively evaluate the dynamic changes in the breathing process. This index may be used in medical diagnosis, exercise physiology evaluation or the study of breathing patterns under certain pathological conditions, providing a reference for the diagnosis and treatment of related diseases.

[0112] In a preferred embodiment of the present invention, a comprehensive analysis is performed on the leg press posture evaluation index and the leg press speed evaluation index of the trainee in the corresponding monitoring period to obtain the exercise qualification evaluation index of the trainee in the corresponding monitoring period, the exercise qualification evaluation index of the trainee in the corresponding monitoring period is analyzed, and the exercise qualification of the trainee in the corresponding monitoring period is analyzed, including:

[0113] The training personnel's exercise qualification evaluation index of the corresponding monitoring period is compared with the exercise qualification evaluation index threshold. If the training personnel's exercise qualification evaluation index of the corresponding monitoring period is ≥ the exercise qualification evaluation index threshold, the training personnel's exercise qualification of the corresponding monitoring period is judged to be normal; the training personnel's exercise qualification evaluation index obtained by comprehensively analyzing the leg stretching posture evaluation index and the leg stretching speed evaluation index during the monitoring period is compared with a preset exercise qualification evaluation index threshold. This threshold is set based on multiple factors such as the training goal, the physical fitness level of the training personnel, and the training experience. It represents the minimum standard that a qualified training performance should reach. Through comparison, it can be intuitively judged whether the training personnel's exercise during the monitoring period has reached the qualified standard, which provides a clear basis for subsequent training adjustments and feedback; if the training personnel's exercise qualification evaluation index is greater than or equal to the preset threshold, it means that both the leg stretching posture and speed during the monitoring period have reached the qualified standard, and the training effect is good. This judgment helps to affirm the efforts of the training personnel and enhance their confidence in training. At the same time, it also provides positive feedback to the coach or training manager, indicating that the current training method and plan are effective and can be continued or slightly optimized.

[0114] If the training personnel's exercise qualification evaluation index for the corresponding monitoring period is less than the exercise qualification evaluation index threshold, the training personnel's exercise qualification for the corresponding monitoring period is judged to be abnormal; if the training personnel's exercise qualification evaluation index is lower than the preset threshold, it means that there are deficiencies in their leg stretching posture or speed during the monitoring period, and they have not reached the qualification standard, and the training effect is not ideal. This judgment can timely discover problems in training and provide training personnel with a clear direction for improvement. At the same time, it also reminds coaches or training managers to pay attention to the training status of trainees, and may need to adjust the training plan or provide additional guidance and support to help trainees reach the qualification standard as soon as possible.

[0115] In a preferred embodiment of the present invention, the exercise qualification evaluation index formula is:

[0116] ;

[0117] in, and The minimum and maximum values ​​of the leg press posture assessment index, and The mean and standard deviation of the coefficient of change of leg press speed, and is the weight coefficient; and is the index, is a constant; by comprehensively considering the minimum and maximum values ​​of the leg stretching posture evaluation index, the average and standard deviation of the leg stretching speed change coefficient, and combining the weight coefficient, index and constant, it can comprehensively and accurately reflect the qualification degree of the leg stretching posture, thereby improving the accuracy and comprehensiveness of the evaluation.

[0118] In a preferred embodiment of the present invention, the cross bar mechanism 6 includes a cross support rod 61, one end of the cross support rod 61 is fixedly connected to a third screw rod 62, the other end of the cross support rod 61 is provided with a sixth screw hole 63, the surface of the cross support rod 61 is provided with a third screw hole 64, and the bottom end thread of the second screw rod 72 extends to the interior of the third screw hole 64.

[0119] In the embodiment of the present invention, the surface of the cross support rod 61 is smooth, the third screw rod 62, the sixth screw hole 63, the first screw hole 3, and the first screw 4 are adapted to each other, and the third screw hole 64 is opened on the surface of the cross support rod 61. When assembling the display warning device 7, the third screw hole 64 is on the side, which is staggered from the side used by the trainees, and does not affect the normal use of the trainees.

[0120] In a preferred embodiment of the present invention, the display warning device 7 includes a bracket 71, a second screw 72 at the bottom end of the bracket 71 is threadedly mounted on the cross bar mechanism 6, a smart display screen 73 is fixedly mounted on the top end of the bracket 71, and a camera 74 is fixedly mounted on the surface of one side of the bracket 71.

[0121] In the embodiment of the present invention, the bottom end of the bracket 71 is clamped on the horizontal support rod 61 by means of an arc-shaped clamp, and the second screw 72 is threadedly connected to the arc-shaped clamp at the bottom end of the bracket 71. When the display warning device 7 is installed, the second screw 72 is rotated into the third screw hole 64, and the camera 74 is used to shoot and record the trainees during training, and the shot pictures and recorded videos are transmitted to the information storage device of the smart display screen 73 for storage, and a recording device is installed on the smart display screen 73. During the leg stretching training of the trainees, the breathing audio is collected through the recording device.

[0122] The present invention is specifically implemented:

[0123] When using the leg stretch bar in a music and dance classroom, trainers can adjust the leg stretch bar according to their needs:

[0124] When adjusting the height of the leg press bar, firstly, two trainees cooperate with each other and simultaneously rotate the threaded sleeves on the surfaces of the two adjustable support frames 1 to make the top of the adjustable support frames 1 extend upward or descend, so that the height of the crossbar mechanism 6 is suitable for the trainees. If the adjusted crossbar mechanism does not meet the exercise requirements of a small number of trainees, the two adjustment mechanisms 8 are respectively rotated and installed at both ends of the crossbar mechanism 6, and the fourth screw rod 81 is rotated at the same time to move the two connecting blocks 82 to the two ends, and then the other crossbar mechanism 6 is connected with the fourth screw hole 83 or the fifth screw hole 84 of the connecting block 82;

[0125] After the height of the entire leg stretching bar is adjusted to an appropriate level, the display warning device 7 can be installed on the third screw hole 64 of the cross support bar 61 by relying on the second screw rod 72. Then, when the trainee performs leg stretching exercises, the smart display screen 73 can be turned on to enter the trainee's information. After that, when the trainee is training, the camera 74 and the microphone can collect various information about the trainee's training process.

[0126] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technically trained personnel in the relevant technical field can well understand and use the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A leg-stretching exercise bar for music and dance teaching, characterized in that: The invention comprises two adjustable support frames (1), the top ends of the two adjustable support frames (1) are each provided with a connecting rod (2), one side of the surface of the two connecting rods (2) is provided with a first screw hole (3), one end of one of the connecting rods (2) is fixedly connected to a first screw rod (4), one end of the other connecting rod (2) is provided with a second screw hole (5), and a cross bar mechanism (6) is provided on the opposite side of the two connecting rods (2), and a plurality of the cross bar mechanisms (6) are mutually threadedly connected, wherein the two cross bar mechanisms (6) at the end are respectively connected to the two connecting rods (2 ) is installed, a display warning device (7) is fixedly installed on the surface of the cross bar mechanism (6), an adjustment mechanism (8) is arranged between the cross bar mechanisms (6), the adjustment mechanism (8) comprises a fourth screw rod (81), the upper and lower ends of the fourth screw rod (81) are provided with connecting blocks (82), the middle of the two connecting blocks (82) on the opposite side are provided with fourth screw holes (83), one side of one of the connecting blocks (82) is provided with a fifth screw hole (84), and the other side of the other connecting block (82) is fixedly connected with a fifth screw rod (85), and further comprises: The data collection module is used to collect the training data of the training personnel in each monitoring period within the corresponding monitoring period, and obtain the training data of the training personnel in each monitoring period within the corresponding monitoring period; The leg-pressing posture analysis module is used to analyze the leg-pressing posture of the trainee in the corresponding monitoring period to obtain the leg-pressing posture evaluation index of the trainee in the corresponding monitoring period; The leg-pressing speed analysis module is used to analyze the leg-pressing speed of the trainee in the corresponding monitoring period to obtain the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period; The qualified exercise data analysis module is used to comprehensively analyze the leg press posture evaluation index and the leg press speed evaluation index of the trainee in the corresponding monitoring period, obtain the qualified exercise evaluation index of the trainee in the corresponding monitoring period, analyze the qualified exercise evaluation index of the trainee in the corresponding monitoring period, and analyze the qualified exercise of the trainee in the corresponding monitoring period; The display warning module is used to display the training health of the training personnel in the corresponding monitoring period. If the training health of the training personnel in the corresponding monitoring period is abnormal, the corresponding warning is activated.

2. The leg-stretching exercise bar for music and dance teaching according to claim 1, characterized in that: The training data of the training personnel in each monitoring period in the corresponding monitoring period are collected to obtain the training data of the training personnel in each monitoring period in the corresponding monitoring period, including: At the beginning of each monitoring period, the camera continuously shoots and records the training process of the trainees; the image data in each training cycle is marked to identify the data of each cycle; Acquire the breathing sound of the trainee during the exercise, and mark the audio data in each exercise cycle so that the breathing sound corresponds to the image data in time; Convert the image data into a grayscale image, set the size of the Gaussian kernel and the standard deviation of the Gaussian function according to the grayscale image; apply the filter to each pixel point and its neighborhood in the grayscale image through Perform convolution operation to obtain the filtered pixel value, and combine all the pixel values ​​after filtering to form a filtered image ,in, The value range is between; is the output image at coordinates The pixel value at and represents the pixel position in the image, is the weight value of the Gaussian kernel at the relative coordinate, is the relative coordinate of the traversal Gaussian kernel, is the radius of the Gaussian kernel; For each pixel in the filtered image, use the Sobel operator to calculate its horizontal and vertical gradient strength and gradient direction. The gradient strength indicates the strength of the edge, and the gradient direction indicates the direction of the edge. Traverse each pixel in the image and obtain the point on the edge according to its gradient direction and gradient strength. Two thresholds are set, a first threshold and a second threshold, and the gradient intensity is compared with the first threshold and the second threshold, and the pixel points above the first threshold are determined as edges, and the pixel points below the second threshold are determined as non-edges, so as to obtain an edge image; The recorded audio data is preprocessed and the characteristic parameters in the breathing audio are extracted using audio analysis technology.

3. The leg-stretching exercise bar for music and dance teaching according to claim 2, characterized in that: Preprocess the recorded audio data and use audio analysis technology to extract characteristic parameters from the breathing audio, including: The continuous audio data is divided into short frames, and each frame of audio data is processed by a Hamming window function to obtain processed audio data; For each audio frame, calculate its short-time energy, calculate the short-time zero-crossing rate of each audio frame, perform fast Fourier transform on each frame of audio data, and convert it from time domain to frequency domain; Calculate statistical features of the entire audio sequence data, including mean, standard deviation, maximum value, and minimum value.

4. The leg-stretching exercise bar for music and dance teaching according to claim 3, characterized in that: The leg-pressing posture of the trainee in the corresponding monitoring period is analyzed to obtain the leg-pressing posture evaluation index of the trainee in the corresponding monitoring period, including: Based on the training data of the trainees at each time period in the monitoring period, the training cycle period in each training period is determined; for each training cycle period, the human body contour data of the key training monitoring points is identified and extracted; The human body contours of adjacent exercise monitoring points in each exercise period within each monitoring period are overlapped and compared, specifically: the human body contour of the current exercise monitoring point is compared with the human body contour of the previous exercise monitoring point, and the target overlap area of ​​adjacent exercise monitoring points in each exercise period within each monitoring period is obtained by calculating the area of ​​the overlapped part; In each monitoring period, for the initial exercise monitoring point of each exercise period, extract its human body contour as the marked contour, overlap and compare the human body contour of the same exercise monitoring point in each subsequent exercise cycle in the monitoring period with the marked contour, and calculate the marked overlap area of ​​each exercise monitoring point and the marked contour in each exercise period in each monitoring period; According to the target overlap area and the marked overlap area Calculate the Leg Stretching Posture Assessment Index ,in, Indicates The target overlap weight for each practice cycle, Indicates The weight of the label overlap for each training cycle, Indicates The target overlap area for each practice cycle is Indicates The overlapping area of ​​the marks during the exercise cycle, represents the duration of the exercise cycle, is a constant; and Represents an index; Indicates the total number of practice cycles.

5. The leg-stretching exercise bar for music and dance teaching according to claim 4, characterized in that: The leg-pressing speed of the trainee in the corresponding monitoring period is analyzed to obtain the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period, including: Identify and classify the breathing phases of each breathing cycle of the trainee during each monitoring period; Compare the decibel value of the breathing audio at each breathing stage with the preset normal breathing decibel value range, and if it exceeds the range, generate a breathing abnormality monitoring signal; For abnormal breathing audio, the difference between its decibel value and the preset value is calculated, and combined with the duration of the leg press phase, the abnormal breathing decibel ratio is obtained; Through video analysis technology, the leg-pressing phases of each leg-pressing cycle of the trainee in each monitoring period are identified and divided, and the exercise cycle speed of each leg-pressing phase is compared with the preset exercise speed range. If it is lower than the preset range, an exercise speed abnormality monitoring signal is generated; For abnormal leg-pressing speed, the actual duration of the leg-pressing cycle is obtained and compared with the total duration of the leg-pressing stage to calculate the change coefficient of the leg-pressing speed; The leg stretch speed evaluation index was calculated based on the change coefficient of the leg stretch speed and the abnormal breathing decibel ratio.

6. The leg-stretching exercise bar for music and dance teaching according to claim 5, characterized in that: The calculation formula of the leg press speed evaluation index is: ； in, is a constant; represents the weight of leg press time, represents the breathing audio weight, Indicates the decibel weight of abnormal breathing; Indicates the total duration of the leg-pressing phase, Indicates the actual duration of the leg press cycle; Indicates the actual decibel value of abnormal breathing audio. Indicates the preset normal breathing decibel value; , , represents the weight coefficient; Represents the base of the natural exponential.

7. The leg-stretching exercise bar for music and dance teaching according to claim 6, characterized in that: Comprehensively analyze the leg-pressing posture evaluation index and the leg-pressing speed evaluation index of the trainee in the corresponding monitoring period to obtain the exercise qualification evaluation index of the trainee in the corresponding monitoring period, analyze the exercise qualification evaluation index of the trainee in the corresponding monitoring period, and analyze the exercise qualification of the trainee in the corresponding monitoring period, including: Compare the training personnel's practice qualification evaluation index of the corresponding monitoring period with the practice qualification evaluation index threshold. If the training personnel's practice qualification evaluation index of the corresponding monitoring period is ≥ the practice qualification evaluation index threshold, it is determined that the training personnel's practice qualification of the corresponding monitoring period is normal. If the training personnel's practice qualification evaluation index for the corresponding monitoring period is less than the practice qualification evaluation index threshold, it is determined that the training personnel's practice qualification for the corresponding monitoring period is abnormal.

8. The leg-stretching exercise bar for music and dance teaching according to claim 7, characterized in that: The exercise qualification assessment index formula is: ； in, and The minimum and maximum values ​​of the leg press posture assessment index, and The mean and standard deviation of the coefficient of change of leg press speed, and is the weight coefficient; and is the index, is a constant.

9. The leg-stretching exercise bar for music and dance teaching according to claim 1, characterized in that: The crossbar mechanism (6) comprises a crossbar (61), one end of the crossbar (61) is fixedly connected to a third screw rod (62), the other end of the crossbar (61) is provided with a sixth screw hole (63), a surface of the crossbar (61) is provided with a third screw hole (64), and the bottom end of the second screw rod (72) is threadedly extended to the inside of the third screw hole (64).

10. The leg-stretching exercise bar for music and dance teaching according to claim 9, characterized in that: The display warning device (7) comprises a bracket (71), a second screw rod (72) at the bottom end of the bracket (71) being threadedly mounted on the crossbar mechanism (6), a smart display screen (73) being fixedly mounted on the top end of the bracket (71), and a camera (74) being fixedly mounted on the surface of one side of the bracket (71).

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