A transmission system and method for sports stadium resource information

Abstract

The present invention relates to the technical field of data processing, and specifically discloses a system and method for transmitting sports venue resource information, including a camera monitoring module, an image processing module, a posture analysis module and an information transmission module. The present invention obtains video stream information of a consumer playing table tennis in real time through a camera, processes the video stream information in real time, extracts characteristics of the consumer's racket holding posture and hitting action, establishes a racket holding posture and hitting action model according to the characteristics of the consumer's racket holding posture and hitting action when playing table tennis, performs a standardization analysis on the consumer's racket holding posture and hitting action, and transmits the analysis result to a mobile terminal of a patrol coach in real time, so that the patrol coach provides timely guidance and correction for the consumer.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically, to a system and method for transmitting sports stadium resource information. Background Art

[0002] Many gymnasiums are equipped with a large number of table tennis tables, attracting many consumers to come and improve their physical fitness and relax their minds and bodies by playing table tennis. As a widely popular sport, table tennis can not only improve the body's coordination and reaction speed, but also enhance cardiopulmonary function. Therefore, it is loved by people of all ages.

[0003] However, despite the many benefits of table tennis, improper movements and postures may bring a series of negative consequences. For example, incorrect racket grip and incorrect hitting movements will not only affect the performance of the game, but also increase the risk of injury. Specifically, incorrect racket grip may cause muscle fatigue in the wrist and forearm, which may cause tendonitis in the long run. Incorrect hitting movements may cause sprains in the shoulder, elbow and wrist joints, and even muscle strains. These problems will not only affect consumers' sports experience, but may also have long-term adverse effects on their physical health.

[0004] In the gymnasium, although there are coaches on duty to instruct and supervise, due to the large number of consumers in the gymnasium, the coaches cannot observe in real time whether each consumer's movements when playing table tennis are standardized, resulting in untimely information transmission and failure to guide each consumer in a timely manner. In this case, many beginners and consumers who are not familiar with the correct techniques use incorrect movements and postures for a long time, which increases the risk of injury. In addition, the lack of timely guidance and correction will also greatly reduce the exercise effect of consumers, further reducing their satisfaction and enthusiasm for exercise.

[0005] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a system and method for transmitting sports venue resource information, which uses a camera monitoring module to obtain video information of consumers playing table tennis in real time, performs image preprocessing on the obtained video information, identifies key points related to the hands and body parts of the consumers by analyzing feature points in the image, and uses the optical flow method to track the key points to capture the dynamic performance of the consumers, establish a racket holding posture model and a batting action model, obtain the score of the racket holding posture and the score of the batting action, and evaluate the standardization of the consumer's posture based on the score of the racket holding posture and the score of the batting action. The standardization evaluation result is formatted into a standard data packet and transmitted to the mobile terminal of a patrol coach in real time through a wireless network. The patrol coach can timely understand the consumer's exercise status and provide targeted guidance and correction to the consumer in time, reduce the risk of consumer injury, and improve the consumer's satisfaction and sports enthusiasm, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A transmission system for sports venue resource information includes a camera monitoring module, an image processing module, a posture analysis module and an information transmission module. The posture analysis module establishes a racket holding posture model and a ball hitting action model to evaluate the standardization of consumers' postures when playing table tennis. The formula of the racket holding posture model is:

[0009] ,

[0010] Where: for The score of consumers' racket holding posture at all times is used to evaluate the standardization of consumers' racket holding posture. is the number of fingers, satisfy , for Consumers at the moment The angle between the center point of each finger and the center point of the wrist, For the preset The standard angle between the center point of each finger and the center point of the wrist, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center of the consumer's palm at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer's palm at the moment, for The vertical coordinate of the center point of the consumer's palm at the moment, for The vertical coordinate of the center point of the consumer's palm at the moment, for Consumers at the moment The coordinates of the center points of the fingers, Satisfy the three-dimensional coordinates ,in, for Consumers at the moment The horizontal coordinate of the center point of each finger, for Consumers at the moment The vertical coordinate of the center point of each finger, for Consumers at the moment The vertical coordinate of the center point of each finger.

[0011] As a further solution of the present invention, the posture analysis module establishes a batting action model, including the following specific contents:

[0012] The batting action not only involves the movement of the hands, but also includes the coordination of the shoulders, elbows and the center of gravity of the body. The correct batting action requires consumers to maintain a good body posture and center of gravity transfer when batting. The formula of the batting action model is:

[0013] ,

[0014] Where: for The score of consumers’ batting actions at each moment, for The angle between the center of the consumer's elbow and the center of the shoulder at the moment, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center point of the consumer's elbow at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's elbow at the moment, for The vertical coordinate of the center point of the consumer's elbow at the moment, for The vertical axis coordinate of the center point of the consumer's elbow at the moment, for The coordinates of the center point of the consumer's shoulder at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's shoulder at the moment, for The vertical coordinate of the center point of the consumer's shoulder at the moment, for The vertical axis coordinate of the center point of the consumer's shoulder at the moment, for The speed at which the consumer’s body center of gravity moves at each moment.

[0015] As a further solution of the present invention, the camera monitoring module obtains video stream information of consumers playing table tennis in real time, including the following specific contents:

[0016] By installing high-resolution, high-frame-rate and low-latency cameras around the table tennis table, clear and stable video information can be provided in scenes with dim light and fast-moving consumers. The cameras are also equipped with autofocus and auto-exposure functions, which can adjust parameters in real time according to environmental changes to ensure that the captured images remain in the best state. The cameras monitor the playing process of each consumer. The cameras are connected by a wireless network to achieve seamless collaboration and avoid data loss due to failure of a single camera. In addition, the camera monitoring module also supports remote control and management. Staff can view the working status of the camera in real time through the software and adjust the angle and focal length of the camera to better capture details of specific areas.

[0017] As a further solution of the present invention, the image processing module processes the video signal transmitted by the camera in real time to extract the motion features of the consumer, including the following specific contents:

[0018] The image processing module includes an image preprocessing unit and a feature extraction unit. The image preprocessing unit receives the video stream information of the consumer playing table tennis captured by the camera monitoring module, decomposes the video stream into continuous image frames, and performs noise removal and image enhancement operations on each frame of the image to improve the clarity of the image. The feature extraction unit uses a posture estimation algorithm based on a convolutional neural network to analyze feature points in the image to identify key points related to the hands and body parts, including: the center point of the finger, the center point of the wrist, the center point of the palm, the center point of the elbow, the center point of the shoulder and the position of the center of gravity of the body. Subsequently, the image processing module uses an optical flow method to track the changes of the key points in the continuous image frames, capture the dynamic performance of the consumer, and form a complete motion trajectory.

[0019] As a further solution of the present invention, the information transmission module transmits the analysis results to the mobile terminal of the patrol coach in real time, including the following specific contents:

[0020] The information transmission module adopts efficient and stable wireless communication technology to ensure reliable transmission in the gymnasium. After the posture analysis module completes the real-time evaluation of the consumer's racket holding posture and hitting action, the generated evaluation result will be formatted into a standard data packet, which contains the identity information, score, evaluation result, timestamp and table number information of each consumer. Then the data packet is transmitted to the mobile terminal of the patrol coach through a high-speed wireless network connection. The transmission process adopts symmetric encryption technology to ensure that the information is not tampered with or leaked during the transmission process. In order to monitor the transmission status, the information transmission module includes a confirmation mechanism. The mobile terminal of the patrol coach will send a confirmation signal after receiving the data to ensure that the data packet has been successfully received. If the confirmation signal is not received within the preset time, the information transmission module will automatically resend the unconfirmed data packet to ensure the integrity of the data. The patrol coach can timely understand the consumer's exercise status based on the consumer's identity information, score, evaluation result, timestamp and table number information displayed on the mobile terminal, provide consumers with targeted guidance and correction, reduce the risk of consumer injury, and improve consumers' satisfaction and sports enthusiasm.

[0021] As a further solution of the present invention, the image processing module is connected to the camera monitoring, the posture analysis module is connected to the image processing module, and the information transmission module is connected to the posture analysis module.

[0022] A method for transmitting sports venue resource information comprises the following specific steps:

[0023] Step S1, obtaining video stream information of consumers playing table tennis in real time through high-resolution, high-frame-rate cameras installed around the table tennis table;

[0024] Step S2, decomposing the video stream into continuous image frames, performing noise removal and image enhancement operations on each frame to improve the clarity of the image, identifying key points related to the consumer's hands and body parts by analyzing feature points in the image, and using the optical flow method to track the changes of key points in continuous image frames to capture the dynamic performance of the consumer;

[0025] Step S3, analyzing the action posture of the consumer in playing table tennis in real time, establishing a racket holding posture model and a batting action model, obtaining scores for the racket holding posture and the batting action, and evaluating the standardization of the consumer's actions;

[0026] Step S4, after completing the evaluation of the consumer's racket holding posture and hitting action, the generated evaluation result is formatted into a standard data packet, which includes the identity information, score, evaluation result, timestamp and table number information of each consumer. The data packet is transmitted to the mobile terminal of the patrol coach through a high-speed wireless network. The patrol coach timely understands the consumer's exercise status based on the consumer's identity information, score, evaluation result, timestamp and table number information displayed on the mobile terminal, and provides guidance and correction to the consumer.

[0027] The technical effects and advantages of the system and method for transmitting sports venue resource information of the present invention are as follows:

[0028] The present invention obtains video information of consumers playing table tennis in real time through a camera monitoring module, performs image preprocessing on the obtained video information, identifies key points related to the hands and body parts of consumers by analyzing feature points in the image, and tracks the key points using an optical flow method to capture the dynamic performance of consumers, a posture analysis module establishes a racket holding posture model and a batting action model to obtain a score for the racket holding posture and a score for the batting action, and performs a standardization evaluation on the consumer's playing posture and playing action based on the score for the racket holding posture and the score for the batting action. The standardization evaluation helps a patrol coach understand the standardization degree of the consumer's posture and action, an information transmission module formats the standardization evaluation result into a standard data packet, and transmits it to a mobile terminal of a patrol coach in real time through a wireless network, so that the patrol coach can timely understand the consumer's exercise status, provide targeted guidance and correction to the consumer in a timely manner, reduce the risk of injury to the consumer, and improve the consumer's satisfaction and sports enthusiasm. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A schematic diagram of the structure of a transmission system for sports stadium resource information according to the present invention;

[0030] Figure 2 The present invention is a flow chart of a method for transmitting sports stadium resource information. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Example 1

[0033] The present invention provides a system for transmitting sports stadium resource information, which comprises a camera monitoring module, an image processing module, a posture analysis module and an information transmission module. The camera monitoring module acquires video information of a consumer playing table tennis in real time, the image processing module processes the video signal transmitted by the camera in real time and extracts the motion features of the consumer, the posture analysis module evaluates the standardization of the consumer's posture based on an established racket holding posture model and a ball hitting action model, and the information transmission module transmits the analysis result to a mobile terminal of a patrol coach in real time.

[0034] Furthermore, the camera monitoring module obtains video stream information of consumers playing table tennis in real time, including the following specific contents:

[0035] By installing high-resolution, high-frame-rate and low-latency cameras around the table tennis table, it is possible to provide clear and stable video information in scenes with dim light and fast-moving consumers. The cameras are also equipped with autofocus and auto-exposure functions, which can adjust parameters in real time according to environmental changes to ensure that the captured images remain in the best state. The cameras monitor the playing process of each consumer. The cameras are connected through a wireless network to achieve seamless collaboration and avoid data loss due to failure of a single camera. In addition, the camera monitoring module also supports remote control and management. Staff can view the working status of the camera in real time through the software and adjust the angle and focal length of the camera to better capture details of specific areas.

[0036] Furthermore, the image processing module processes the video signal transmitted by the camera in real time to extract the consumer's action features, including the following specific contents:

[0037] The image processing module includes an image preprocessing unit and a feature extraction unit. The image preprocessing unit receives the video stream information of the consumer playing table tennis captured by the camera monitoring module, decomposes the real-time video stream into continuous image frames, and performs noise removal and image enhancement operations on each frame to improve the clarity of the image. The feature extraction unit uses a posture estimation algorithm based on a convolutional neural network to analyze the feature points in the image and identify key points related to the hands and body parts, including: the center point of the finger, the center point of the wrist, the center point of the palm, the center point of the elbow, the center point of the shoulder and the position of the center of gravity of the body. Subsequently, the image processing module uses the optical flow method to track the changes of the key points in the continuous image frames, capture the dynamic performance of the consumer, and form a complete motion trajectory.

[0038] In this embodiment, the above-mentioned posture estimation algorithm based on convolutional neural network uses the OpenPose key point detection model, extracts features through convolutional neural network, and outputs the key point coordinates of human posture. First, a multi-angle image data set containing table tennis related actions is constructed, the coordinates of key points are marked, and the multi-angle image data is standardized and the data set enhancement operations are performed, including: flipping, scaling and cropping. The model of the posture estimation algorithm based on convolutional neural network is composed of an input layer, a backbone network, a heat map generation module and a key point coordinate regression module. The input size of the input layer is ,in, is the width of the input image, is the height of the input image, is the number of channels of the input image; the backbone network uses the pre-trained convolutional neural network ResNet as the feature extraction backbone; the heat map generation module generates a two-dimensional heat map for each key point, the center of each heat map represents the position of the key point, and its value decreases from the center to the outside according to the Gaussian distribution; the key point coordinate regression module adds a regression head based on the heat map to predict the two-dimensional or three-dimensional coordinates of each key point; the training details of the OpenPose key point detection model are: the loss function uses the mean square error (MSE) of the heat map and the coordinate regression error, the optimizer uses Adam, the initial learning rate is set to 0.001, and the data is divided into a training set, a validation set, and a test set with a ratio of 7:1:2; the implementation of the OpenPose key point detection model specifically includes the following steps:

[0039] Step Y1, receiving the video stream data collected by the camera monitoring module, and decomposing the video stream data into continuous image frames and inputting them into a convolutional neural network;

[0040] Step Y2, the OpenPose key point detection model outputs the key point heat map and corresponding coordinates in each frame image:

[0041] Step Y3, tracking the key points of consecutive frames in combination with the optical flow algorithm to generate a complete motion trajectory.

[0042] The OpenPose key point detection model evaluates accuracy based on five indicators: PCK, MPJPE, heat map peak error, and SSIM.

[0043] The evaluation accuracy of the OpenPose key point detection model is shown in Table 1.

[0044] Table 1 Evaluation accuracy of OpenPose key point detection model

[0045]

[0046] In this embodiment, the following is a python language code example, in which the backbone network uses a pre-trained convolutional neural network ResNet as a feature extraction backbone to extract features, and adds a key point prediction layer at the end:

[0047] class PoseEstimationModel(nn.Module):

[0048] def __init__(self, num_keypoints):

[0049] self.backbone = models.resnet18(pretrained=True)

[0050] self.backbone=nn.Sequential(*list(self.backbone.children())[:-2])

[0051] self.heatmap_head = nn.Conv2d(512, num_keypoints, kernel_size=1)

[0052] self.coord_head = nn.Sequential(

[0053] nn.Flatten(),

[0054] nn.Linear(512 * 8 * 8, 256),

[0055] nn.ReLU(),

[0056] nn.Linear(256, num_keypoints * 2) # 2 means (x, y) )

[0058] def forward(self, x):

[0059] features = self.backbone(x)

[0060] heatmap = self.heatmap_head(features)

[0061] coords = self.coord_head(features)

[0062] return heatmap, coords

[0063] In this embodiment, the following is a Python language code example, and the training process of the OpenPose key point detection model is:

[0064] num_keypoints = 17

[0065] model = PoseEstimationModel(num_keypoints).to("cuda")

[0066] criterion_heatmap = nn.MSELoss()

[0067] criterion_coord = nn.MSELoss()

[0068] optimizer = optim.Adam(model.parameters(), lr=0.001)

[0069] num_epochs = 10

[0070] for epoch in range(num_epochs):

[0071] model.train()

[0072] running_loss = 0.0

[0073] for images, keypoints in dataloader:

[0074] images = images.to("cuda")

[0075] keypoints = keypoints.to("cuda")

[0076] heatmap_true = keypoints["heatmap"]

[0077] coord_true = keypoints["coords"]

[0078] heatmap_pred, coord_pred = model(images)

[0079] loss_heatmap=criterion_heatmap(heatmap_pred,heatmap_true)

[0080] loss_coord = criterion_coord(coord_pred, coord_true)

[0081] loss = loss_heatmap + loss_coord

[0082] optimizer.zero_grad()

[0083] loss.backward()

[0084] optimizer.step()

[0085] running_loss += loss.item()

[0086] Furthermore, the posture analysis module evaluates the standardization of the consumer's posture based on the established racket holding posture model and the batting action model, including the following specific contents:

[0087] The posture analysis module calculates the standardization of the action by real-time analysis of the action characteristics of consumers in playing table tennis, and provides effective correction information for the on-site coaches. Based on the key points of the movement extracted by the image processing module, this module establishes a racket holding posture model and a batting action model, and compares them with the standard racket holding posture and batting action to obtain the racket holding score and the batting action score. The formula of the racket holding posture model is:

[0088] ,

[0089] Where: for The score of consumers' racket holding posture at all times is used to evaluate the standardization of consumers' racket holding posture. is the number of fingers, satisfy , for Consumers at the moment The angle between the center point of each finger and the center point of the wrist, For the preset The standard angle between the center point of each finger and the center point of the wrist, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center of the consumer's palm at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer's palm at the moment, for The vertical coordinate of the center point of the consumer's palm at the moment, for The vertical coordinate of the center point of the consumer's palm at the moment, for Consumers at the moment The coordinates of the center points of the fingers, Satisfy the three-dimensional coordinates ,in, for Consumers at the moment The horizontal coordinate of the center point of each finger, for Consumers at the moment The vertical coordinate of the center point of each finger, for Consumers at the moment The vertical coordinates of the center points of the fingers are used as the ratings of consumers’ racket holding postures. Greater than the scoring threshold for the racket grip posture preset by the patrol coach , it indicates that the consumer's racket holding posture is not standard;

[0090] The batting action not only involves the movement of the hands, but also the coordination of the shoulders, elbows and the center of gravity of the body. The correct batting action requires consumers to maintain a good body posture and center of gravity when batting. The formula of the batting action model is:

[0091] ,

[0092] Where: for The score of consumers’ batting actions at each moment, for The angle between the center of the consumer's elbow and the center of the shoulder at the moment, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center point of the consumer's elbow at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's elbow at the moment, for The vertical coordinate of the center point of the consumer's elbow at the moment, for The vertical axis coordinate of the center point of the consumer's elbow at the moment, for The coordinates of the center point of the consumer's shoulder at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's shoulder at the moment, for The vertical coordinate of the center point of the consumer's shoulder at the moment, for The vertical axis coordinate of the center point of the consumer's shoulder at the moment, for The speed at which the center of gravity of the consumer moves at all times, and the score of the consumer's racket holding posture Greater than the scoring threshold for the racket grip posture preset by the patrol coach , it indicates that the consumer's racket holding posture is not standard;

[0093] Furthermore, the information transmission module transmits the analysis results to the mobile terminal of the patrol coach in real time, including the following specific contents:

[0094] The information transmission module adopts efficient and stable wireless communication technology to ensure reliable transmission in the gymnasium. After the posture analysis module completes the real-time evaluation of the consumer's racket holding posture and hitting action, the generated evaluation results are formatted into a standard data packet. The data packet contains the identity information, score, evaluation result, timestamp and table number information of each consumer. Then the data packet is transmitted to the mobile terminal of the patrol coach through a high-speed wireless network connection. The transmission process adopts symmetric encryption technology to ensure that the information is not tampered with or leaked during the transmission process. In order to monitor the transmission status, the information transmission module includes a confirmation mechanism. The mobile terminal of the patrol coach will send a confirmation signal after receiving the data to ensure that the data packet has been successfully received. If the confirmation signal is not received within the preset time, the information transmission module will automatically resend the unconfirmed data packet to ensure the integrity of the data. The patrol coach can timely understand the consumer's exercise status based on the consumer's identity information, score, evaluation result, timestamp and table number information displayed on the mobile terminal, provide consumers with targeted guidance and correction, and improve consumers' satisfaction and sports enthusiasm.

[0095] Furthermore, in this embodiment, the image processing module is connected to the camera monitoring, the posture analysis module is connected to the image processing module, and the information transmission module is connected to the posture analysis module.

[0096] The present invention provides a method for transmitting sports stadium resource information, which comprises the following steps:

[0097] Step S1, obtaining video stream information of consumers playing table tennis in real time through high-resolution, high-frame-rate cameras installed around the table tennis table;

[0098] Step S2, decomposing the video stream into continuous image frames, performing noise removal and image enhancement operations on each frame to improve the clarity of the image, identifying key points related to the consumer's hands and body parts by analyzing feature points in the image, and using the optical flow method to track the changes of key points in continuous image frames to capture the dynamic performance of the consumer;

[0099] Step S3, analyzing the action posture of the consumer in playing table tennis in real time, establishing a racket holding posture model and a batting action model, obtaining scores for the racket holding posture and the batting action, and evaluating the standardization of the consumer's actions;

[0100] Step S4, after completing the evaluation of the consumer's racket holding posture and hitting action, the generated evaluation result is formatted into a standard data packet, which includes the identity information, score, evaluation result, timestamp and table number information of each consumer. The data packet is transmitted to the mobile terminal of the patrol coach through a high-speed wireless network. The patrol coach timely understands the consumer's exercise status based on the consumer's identity information, score, evaluation result, timestamp and table number information displayed on the mobile terminal, and provides guidance and correction to the consumer.

[0101] The present invention obtains video information of consumers playing table tennis in real time through a camera monitoring module, performs image preprocessing on the obtained video information by an image processing module, identifies key points related to the consumer's hands and body parts by analyzing feature points in the image, tracks the key points by using an optical flow method, and captures the dynamic performance of the consumer; a posture analysis module establishes a racket holding posture model and a ball-striking action model, obtains a score of the racket holding posture and a score of the ball-striking action, and performs a standardization evaluation on the consumer's playing posture and the playing action based on the score of the racket holding posture and the score of the ball-striking action. The standardization evaluation helps a tour coach understand the standardization degree of the consumer's posture and action; an information transmission module formats the standardization evaluation result into a standard data packet, which includes the consumer's identity information, score, evaluation result, timestamp and table number information, and transmits the data packet to a mobile terminal of a tour coach in real time through a wireless network; the tour coach timely understands the consumer's exercise state according to the information displayed on the mobile terminal, and timely provides targeted guidance and correction to the consumer, thereby reducing the risk of injury to the consumer due to incorrect playing posture and action, and improving the consumer's satisfaction and sports enthusiasm.

[0102] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0103] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A system for transmitting sports venue resource information, characterized in that: It includes a camera monitoring module, an image processing module, a posture analysis module and an information transmission module; the image processing module is connected to the camera monitoring, the posture analysis module is connected to the image processing module, and the information transmission module is connected to the posture analysis module; the posture analysis module establishes a racket holding posture model and a ball hitting action model, and performs a standardization evaluation on the posture of consumers when playing table tennis. The formula of the racket holding posture model is: ， Where: for The score of consumers' racket holding posture at all times is used to evaluate the standardization of consumers' racket holding posture. is the number of fingers, satisfy , for Consumers at the moment The angle between the center point of each finger and the center point of the wrist, For the preset The standard angle between the center point of each finger and the center point of the wrist, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center of the consumer's palm at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer's palm at the moment, for The vertical coordinate of the center point of the consumer's palm at the moment, for The vertical axis coordinate of the center point of the consumer's palm at the moment, for Consumers at the moment The coordinates of the center points of the fingers, Satisfy the three-dimensional coordinates ,in, for Consumers at the moment The horizontal coordinate of the center point of each finger, for Consumers at the moment The vertical coordinate of the center point of each finger, for Consumers at the moment The vertical coordinate of the center point of each finger.

2. A system for transmitting sports venue resource information according to claim 1, characterized in that The formula of the batting action model established by the posture analysis module is: ， Where: for The score of consumers’ batting actions at each moment, for The angle between the center of the consumer's elbow and the center of the shoulder at the moment, for The coordinates of the center point of the consumer’s wrist at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The vertical coordinate of the center point of the consumer’s wrist at the moment, for The coordinates of the center point of the consumer's elbow at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's elbow at the moment, for The vertical coordinate of the center point of the consumer's elbow at the moment, for The vertical axis coordinate of the center point of the consumer's elbow at the moment, for The coordinates of the center point of the consumer's shoulder at the moment, Satisfy the three-dimensional coordinates ,in, for The horizontal axis coordinate of the center point of the consumer's shoulder at the moment, for The vertical coordinate of the center point of the consumer's shoulder at the moment, for The vertical axis coordinate of the center point of the consumer's shoulder at the moment, for The speed at which the consumer’s body center of gravity moves at all times.

3. A system for transmitting sports venue resource information according to claim 1, characterized in that: The camera monitoring module obtains real-time video information of consumers playing table tennis through cameras installed around the table tennis table. The camera has the functions of automatic focus and automatic exposure, and can adjust parameters in real time according to environmental changes to ensure that the captured images remain in the best state.

4. A system for transmitting sports venue resource information according to claim 1, characterized in that: The image processing module includes an image preprocessing unit and a feature extraction unit. The image preprocessing unit decomposes the real-time video stream into continuous image frames and performs noise removal and image enhancement operations on each frame of the image. The feature extraction unit identifies key points related to hands and body parts based on a posture estimation algorithm of a convolutional neural network, and uses an optical flow method to track changes in key points in continuous image frames to form a complete motion trajectory.

5. A system for transmitting sports venue resource information according to claim 1, characterized in that: The information transmission module transmits the scores of the consumer's racket grip posture and the hitting action to the mobile terminal of the patrol coach in real time. The transmission process adopts encryption technology to ensure that the information is not tampered with or leaked during the transmission process.

6. A system for transmitting sports venue resource information according to claim 5, characterized in that: The information transmission module also includes a confirmation mechanism. After receiving the information, the mobile terminal of the patrol coach will send a confirmation signal to ensure that the information has been successfully received.

7. A method for transmitting sports stadium resource information, used to implement a system for transmitting sports stadium resource information as claimed in any one of claims 1 to 6, characterized in that: Step S1, obtaining video stream information of consumers playing table tennis in real time through high-resolution, high-frame-rate cameras installed around the table tennis table; Step S2, decomposing the video stream information into continuous image frames, performing noise removal and image enhancement operations on each frame to improve the clarity of the image, identifying key points related to the consumer's hands and body parts by analyzing feature points in the image, and tracking the changes of key points in continuous image frames using the optical flow method to capture the dynamic performance of the consumer; Step S3, analyzing the action posture of the consumer in playing table tennis in real time, establishing a racket holding posture model and a batting action model, obtaining scores for the racket holding posture and the batting action, and evaluating the standardization of the consumer's actions; Step S4, after completing the evaluation of the consumer's racket holding posture and hitting action, the generated evaluation result is formatted into a standard data packet, which includes the identity information, score, evaluation result, timestamp and table number information of each consumer. The data packet is transmitted to the mobile terminal of the patrol coach through a high-speed wireless network. The patrol coach timely understands the consumer's exercise status based on the consumer's identity information, score, evaluation result, timestamp and table number information displayed on the mobile terminal, and provides guidance and correction to the consumer.

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