Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform

Deng, Lingling; Pu, Yubin

doi:10.1016/j.displa.2021.102044

Cited by 10 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Image quality is the basis of image algorithm, and the quality of image directly affects the effect of the algorithm [9,10]. Before the implementation of image correlation algorithm, it is necessary to preprocess the image to suppress the useless information in the image and enhance the relevant information of the tested object [11,12]. First, the number and initial position of the key points of the 3D model were determined according to the segmented 3D point cloud of the catheter center line.…”

Section: Three-dimensional Reconstruction Theorymentioning

confidence: 99%

Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks

Shen

Huang

Zhang

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

Neurogenic intestinal care is currently a major research topic in the medical field. In order to improve the accuracy of neurogenic intestinal care and simplify the process of neurogenic intestinal care, this paper adopts a three-dimensional analysis theory to extract the key indicators in neurogenic intestinal care. Through the analysis and calculation of the test data, the calculation results of neurogenic intestinal care under the effect of three-dimensional reconstruction technology were obtained. Through the analysis of the results, the calculation law under the action of the optimization model can be obtained. Based on the three-dimensional reconstruction theory, the contents of neurogenic intestinal care were analyzed by the three-dimensional reconstruction de-highlighting algorithm. The three-dimensional curve was used to screen the key indicators of neurogenic intestinal care, so as to obtain the optimized heavy weight model, and the three-dimensional reconstruction model can analyze the indicators of neurogenic intestinal care. It can be seen from relevant studies that different indicators have different trends in their range of change in the curve projection diagram of the 3D curve screening method. Among them, the curve shadow and curve point have obvious downward changes, while the curve deviation has U-shaped changes. The range of curve weights is relatively large. The variation rule between different data in the 3D curve segment can be obtained through the cost function. Among them, the cost function index and the cost model parameter have the same change trend, and the overall fluctuation range is relatively small through the space index. In the calculation results of neurogenic intestinal care, different factors will have a great influence on the calculation results. Neurons and intestinal peristalsis have the same change trend, while the linear characteristics of nerve endings are relatively obvious, and the fluctuation characteristics of gastrointestinal digestion are good. The health standard decreases linearly with the increase of the sample, and the dynamic reconstruction has a positive effect on the data. This study can provide research ideas for the analysis of neurogenic gut.

show abstract

Section: Three-dimensional Reconstruction Theorymentioning

confidence: 99%

Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks

Shen

Huang

Zhang

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…In recent years, with the development of "Wushu school activities", more and more schools have offered Wushu courses. Literature [12] introduces a 3D imaging technique based on traditional physical education teaching methods, with the aim of exploring a new model for teaching wushu through image reconstruction and posture analysis. Firstly, feature points and feature lines from the input image are extracted and compared.…”

Section: Related Researchmentioning

confidence: 99%

The Construction of Teaching Effect Indicator Management System for Wushu Courses in Colleges and Universities Oriented by “Internet+Education”

Liu

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

In this paper, the simpler wavelet transform method is used to remove the Gaussian noise contained in the image, reconstruct the approximation signal and the final processed detail signal, and obtain the estimated value of the noise signal to complete the image preprocessing. In the process of human static feature extraction, due to the structural limitations of the human body shoulder joint activity angle is low. Therefore, the local spherical coordinates are used to represent the joint angle characteristics of the human body in the static posture and, through the completion of the calculation of the distribution function of the action features of the target, to be tested to realize the recognition of the martial arts action. After completing the judgment matrix and consistency test, we finally establish the teaching effect index system for college wushu courses and analyze the teaching of ‘Internet Education’ wushu courses. The results show that the accuracy of the results of the four algorithms test dataset is stably maintained between 0.8 and 0.9, DNN algorithm, CNN algorithm, RNN algorithm, this paper’s algorithm loss average value of 1.34, 1.58, 1.75, 1.23, respectively, the combined accuracy and loss value, this paper’s algorithm compared to DNN algorithm, CNN algorithm, RNN algorithm performs better. Namely, the algorithm in this paper can accomplish action recognition with high accuracy. In the analysis of the teaching effect index evaluation of wushu course, the experts think that the matter dimension wushu course design index weight (0.800) > wushu teaching system (0.200), and wushu lecturers should design the course key points before the class. In this study, through the digital construction of teaching wushu courses in colleges and universities, we can achieve long-term development.

show abstract

“…These methods often rely on static image processing techniques and struggle to effectively handle image degradation issues caused by motion blur and camera shake [13][14][15]. Moreover, traditional algorithms usually have high computational demands and poor real-time performance when dealing with high-dynamic scenes, which are not suitable for sports event analysis that requires quick feedback [16][17][18][19][20][21]. Therefore, developing super-resolution techniques optimized for motion scenarios has become an important research direction in this field.…”

Section: Introductionmentioning

confidence: 99%

Image Super-Resolution Reconstruction in Sports Scenarios and Its Application in Motion Analysis

2024

View full text Add to dashboard Cite

With the rapid development of sports technology, the demand for high-definition images in sports competition analysis has been increasing. Particularly in fast-paced sports such as basketball, traditional image capture technology often fails to provide sufficient detail resolution, limiting in-depth analysis of athletic techniques and tactical layouts. To address this, image super-resolution reconstruction technology has been extensively studied and applied to enhance image quality, thereby providing coaches and analysts with clearer visual materials. However, existing super-resolution methods mainly focus on static images and struggle to overcome the challenges of blurring and real-time processing demands in motion scenarios. This paper introduces a dynamic adaptive cascaded network-based method for super-resolution reconstruction of images in motion scenarios, combined with dynamic 3D motion scene imaging techniques, aimed at enhancing the accuracy and timeliness of motion analysis. Through these innovative methods, not only can image degradation caused by motion be effectively handled, but higher-dimensional data support can also be provided for motion analysis.

show abstract

Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform

Cited by 10 publications

References 44 publications

Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks

Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks

The Construction of Teaching Effect Indicator Management System for Wushu Courses in Colleges and Universities Oriented by “Internet+Education”

Image Super-Resolution Reconstruction in Sports Scenarios and Its Application in Motion Analysis

Contact Info

Product

Resources

About