Construction of Virtual Reality-Interactive Classroom Based on Deep Learning Algorithm

Chen, Weijie; Liu, Xiaoxi; Qiao, Lei; Wang, Jian; Zhao, Yanheng

doi:10.1155/2020/8870536

Cited by 11 publications

(10 citation statements)

References 21 publications

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“…Many scholars have conducted relevant research on the digitization of tennis teaching. Some researchers described the importance of tennis culture and its impact on the development of college tennis and fully demonstrated how to strengthen the development of college tennis culture [5,6].…”

Section: Introductionmentioning

confidence: 99%

Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

Zhao

2021

Security and Communication Networks

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Tennis teaching is an important part of traditional physical education in China. It aims to cultivate students’ lifelong exercise habits, improve learning efficiency, and promote social development. Therefore, based on the concepts of deep learning and digital resource construction, this paper proposes the course structure design. This paper first describes the current situation of tennis teaching, then studies the relevant content of deep learning, and discusses the most commonly used neural network algorithm in the field of deep learning. Then, using the research method of the questionnaire survey, combined with the digital teaching mode, the teaching of Chinese college students tennis group research, and compared with the traditional teaching mode. The results showed that the experimental group (EP) learned more balanced technical movements than the control group (CP). The teaching effect of digital resource tennis course is better than conventional teaching, which shows that digital resource tennis course can master students’ skills better than conventional teaching. Therefore, the construction of digital resources based on deep learning can improve students’ tennis technology and stimulate students’ interest in tennis.

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Section: Introductionmentioning

confidence: 99%

Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

Zhao

2021

Security and Communication Networks

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“…en, the two feature spaces f � W f x and g � W g x are obtained through the convolution kernel 1 × 1. f and g are used to calculate the attention. e specific calculation is given in (2).…”

Section: Research On the Image Enhancement Algorithm Based On Ganmentioning

confidence: 99%

“…By 2013, new media entered a particular stage of development: the apparent globalization, communication, networking, mobility, and social integration of new media. Social and group communication are increasingly open and connected through new media [1,2]. Based on this situation, new media's cultural and entertainment functions continue to expand.…”

Section: Introductionmentioning

confidence: 99%

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Cui¹,

Zhang

Wang³

et al. 2022

Computational Intelligence and Neuroscience

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Today, new media technology has widely penetrated art forms such as film and television, which has changed the way of visual expression in the new media environment. To better solve the problems of weak immersion, poor interaction, and low degree of simulation, the present work uses deep learning technology and virtual reality (VR) technology to optimize the film playing effect. Firstly, the optimized extremum median filter algorithm is used to optimize the “burr” phenomenon and a low compression ratio of the single video image. Secondly, the Generative Adversarial Network (GAN) in deep learning technology is used to enhance the data of the single video image. Finally, the decision tree algorithm and hierarchical clustering algorithm are used for the color enhancement of VR images. The experimental results show that the contrast of a single-frame image optimized by this system is 4.21, the entropy is 8.66, and the noise ratio is 145.1, which shows that this method can effectively adjust the contrast parameters to prevent the loss of details and reduce the dazzling intensity. The quality and diversity of the specific types of images generated by the proposed GAN are improved compared with the current mainstream GAN method with supervision, which is in line with the subjective evaluation results of human beings. The Frechet Inception Distance value is also significantly improved compared with Self-Attention Generative Adversarial Network. It shows that the sample generated by the proposed method has precise details and rich texture features. The proposed scheme provides a reference for optimizing the interactivity, immersion, and simulation of VR film.

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“…e study in [12,13] developed a virtual reality-based Japanese educational environment. It was based on current technologies [14,15]. Physical computing, software development, human considerations, and the delivery of virtual reality over high-speed networks are among the fundamental hurdles of virtual reality technology [16,17].…”

Section: Virtual Reality (Vr)mentioning

confidence: 99%

Optimization of Multimodal Japanese Teaching Model Using Virtual Reality

2022

Mobile Information Systems

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The potential of virtual reality technology to aid education is well acknowledged. It has already been implemented in at least 20 public schools and institutions, with many more participating in assessment and research initiatives. The proposed methodology is to use virtual reality technology in Japanese teaching in order to create an immersive virtual teaching environment for the learners. They can see and hear Japanese teaching through visual, auditory, tactile, and other senses. They can also interact through virtual reality. The objects simulated by this technology interact with each other, thus creating a feeling of living in a super world. The products of virtual reality technology can be used as a new tool for learning the Japanese language. On the one hand, the advantages of virtual reality technology are assisting Japanese teaching and training due to its immersive, interactive, and systematic characteristics. On the other hand, we can use multimodal data fusion to make the data sources more diversified and optimize the Japanese teaching model through virtual reality technology. In addition, more effective and interesting teaching methods provide references for others. The experimental results show that our multimodal fusion BP (backpropagation) neural network algorithm provides a better result than the single decision tree algorithm and support vector machine algorithm.

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Construction of Virtual Reality-Interactive Classroom Based on Deep Learning Algorithm

Cited by 11 publications

References 21 publications

Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

Construction and Application of Tennis Teaching Digital Resources Based on Deep Learning

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment

Optimization of Multimodal Japanese Teaching Model Using Virtual Reality

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