A Research on Sports Training Auxiliary System Based on Cloud Computing

Wu, Hong Jiang; Li, Xin Kui; Zhao, Hai Yan

doi:10.4028/www.scientific.net/amm.397-400.2495

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Similarly, Uf i t c is the computation mark of the i th human limb angle in the current frame of the user video, when the coordinates of a certain joint point in the user video cannot be obtained accurately, the computation mark of the human limb angle related to that joint point is set to 0, so that the related human limb angle does not participate in the computation. On the contrary, when the coordinates of a joint point in the user's video can be obtained accurately, the calculation of the human limb angle associated with that joint point is set to 1, and the associated human limb angle is calculated [ 25 – 27 ].…”

Section: Golf Swing Evaluation Algorithmmentioning

confidence: 99%

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

Wang

Zang

2022

Computational Intelligence and Neuroscience

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In recent years, significant advances in the development of computer vision technology have produced many platforms and systems that combine computer technology and sports-assisted training, including intelligent systems that are integrated with golf training and instruction. However, the existing intelligent systems for golf-assisted teaching usually use three-dimensional depth information, which will significantly increase the cost of intelligent systems. In this paper, the extraction of golf club slope is carried out on the basis of golf sport video capture using a common monocular camera in order to match the club slope information with the professional coach swing video information. At the same time, in order to facilitate the interframe matching, the joint point information is complemented using the projection approximation point algorithm, and the segmentation of the swing video is performed using the complemented human hand joints and the fixed characteristics of the golf swing. Then, in order to solve the problem that human joints will have the same joint angle under different movements, the human limb joint angles are defined and then the swing movements in the user video frames are evaluated.

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Section: Golf Swing Evaluation Algorithmmentioning

confidence: 99%

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

Wang

Zang

2022

Computational Intelligence and Neuroscience

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“…Taking the development of online sports as the theme and the establishment of a sports network auxiliary system as the content, the research on the auxiliary role of network technology in physical education is studied [8]. In the designed college sports system, physical education teachers can learn the online environment through the Internet, and they can prepare courses and PPT and use online technology to upload videos, post homework, and post test standards and results [9,10]. Students can access the course materials on the server at any time, avoiding the problem of lack of knowledge due to the difficulty of certain technical movements in physical education [11].…”

Section: Introductionmentioning

confidence: 99%

Smart System Design for College Physical Education Class Based on Abnormal Audio Detection Algorithm

Bai

2022

Mobile Information Systems

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Based on dual-core technology and the theory of nontransmission and noninterference of information flow, this paper conducts a detailed system trust environment investigation on key issues such as trust routing design and reliability analysis in the embedded structure. At the same time, we will study the method of extracting features from speech data. When dealing with abnormal audio detection, firstly, the preprocessed valid audio clips are framed and windowed and have stable short-term characteristics; after the feature is stable, the frequency feature and time domain feature of audio data are analyzed and compared. And then combined with specific applications, a detailed demand analysis is carried out, and the development plan and implementation method of the college physical education network auxiliary system are proposed. The teaching system follows a three-tier system structure. In order to expand the existing functions, this paper uses the principle of modularity, starting from the following four aspects: educational resources, online question and answer, coursework, and test-related modules. We choose object-oriented and easy-to-expandable modules, such as the development and implementation of programming language environments and database systems. By applying the abnormal audio detection technology to the embedded system of college P.E. classroom, it can effectively optimize the traditional P.E. teaching mode and promote the teaching efficiency and the new development of P.E. teaching in the information age.

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Computer Aided Sports Technology in Physical Training

Chen

2014

AMR

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To achieve a good physical training effect, it not only needs hard training of athletes, but also a scientific and rational approach. This paper describes the development background of computer-aided sports technology, definitions and classifications. The work analyzes the traditional sports training process, points out its shortcomings, and describs the computer-aided sports technology detailedly, and cites some aspects of its application in sports training. A large number of practice show that computer-aided sports technology plays an important role in improving the level of training, and with the constant advances in computer and information technology, it certainly has broader application prospects in physical exercise.

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A Research on Sports Training Auxiliary System Based on Cloud Computing

Cited by 3 publications

References 1 publication

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

Research on Intelligent Sports Training System for Golf Based on Body Sense Recognition

Smart System Design for College Physical Education Class Based on Abnormal Audio Detection Algorithm

Computer Aided Sports Technology in Physical Training

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