RETRACTED: Virtual simulation design and effect of high jump technology action optimization based on complex embedded system

Sun, Ping; Ruan, Ding-Guo

doi:10.1016/j.micpro.2020.103646

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…It is a method of creating scenes by using physical objects, sound and photoelectric equipment and cooperating with synchronous recording. At the beginning, it was a short-term and quick teaching method to cultivate adults, and then it was introduced into foreign language teaching in schools, aiming at cultivating students' four skills of listening, speaking, reading and writing, and the course of audio-visual speaking was born [5]. Audiovisual teaching, as the name suggests, is to convey effective information to students through auditory, visual, or a combination of auditory and visual methods, helping them learn foreign languages: auditory teaching methods, visual teaching methods, audiovisual teaching methods.…”

Section: Overview Of Audio-visual and Speaking Coursesmentioning

confidence: 99%

Design and Research on Virtual Simulation Experiment Teaching of Russian Audio-visual and Speaking Course

Feng,

2023

Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 20

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Due to students' insufficient emphasis on Russian audiovisual and oral courses, coupled with factors such as lack of attractiveness in course content, insufficient class hours, and a lack of diversity in teaching methods, students face certain difficulties in their Russian listening and speaking abilities. To address this issue, this article conducts in-depth research on the course based on theories related to motivational psychology and needs theory, clarifying the relationship between students' learning motivation and Russian audiovisual and oral courses. At the same time, based on personal learning and teaching experience, as well as questionnaire survey results, the author elucidates the guiding significance of motivational psychology related theories in Russian audiovisual and oral teaching. The research results can effectively guide practical teaching practices, and motivational psychology provides relevant theoretical basis and training methods for Russian audiovisual and oral teaching. This also helps to improve the listening, speaking, and communication abilities of Russian learners, enabling them to smoothly pass the Professional Level 8 exam on the basis of fluent and accurate expression of their thoughts.

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Section: Overview Of Audio-visual and Speaking Coursesmentioning

confidence: 99%

Design and Research on Virtual Simulation Experiment Teaching of Russian Audio-visual and Speaking Course

Feng,

2023

Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 20

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“…This method first determines the music style, obtains the basic style characteristics of music and dance, and then analyzes the correlation between the basic characteristics of music and dance to remove the repeated feature pairs [ 17 ]. Sun and Ruan used the depth and bone information obtained by the camera for dance action recognition [ 18 ]. The recognition accuracy is improved by using the information obtained from the offline data set, including RGB information and available depth and bone information.…”

Section: Related Workmentioning

confidence: 99%

Optimization Simulation of Dance Technical Movements and Music Matching Based on Multifeature Fusion

Dong

2022

Computational Intelligence and Neuroscience

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Music and dance videos have been popular among researchers in recent years. Music is one of the most important forms of human communication; it carries a wealth of emotional information, and it is studied using computer tools. In the feature engineering process, most present machine learning approaches suffer from information loss or insufficient extracted features despite the relevance of computer interface and multimedia technologies in sound and music matching tasks. Multifeature fusion is widely utilized in education, aerospace, intelligent transportation, biomedicine, and other fields, and it plays a critical part in how humans get information. In this research, we offer an effective simulation method for matching dance technique movements with music based on multifeature fusion. The initial step is to use music beat extraction theory to segment the synchronized dance movements and music data, then locate mutation points in the music, and dynamically update the pheromones based on the merits of the dance motions. The audio feature sequence is obtained by extracting audio features from the dancing video’s accompanying music. Then, we combine the two sequences to create an entropy value sequence based on audio variations. By comparing the consistency of several approaches for optimizing dance movement simulation trials, the optimized simulation method described in this research has an average consistency of 87%, indicating a high consistency. As a result, even though the background and the subject are readily confused, the algorithm in this research can keep a consistent recognition rate for more complicated dance background music, and the approach in this study can still guarantee a certain accuracy rate.

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“…e representative film is Final Fantasy: e Spirit Within (2001). VR technology can visualize a role, real or imagined, in front of the audience and improve the film's attraction [15,16].…”

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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RETRACTED: Virtual simulation design and effect of high jump technology action optimization based on complex embedded system

Cited by 3 publications

References 5 publications

Design and Research on Virtual Simulation Experiment Teaching of Russian Audio-visual and Speaking Course

Design and Research on Virtual Simulation Experiment Teaching of Russian Audio-visual and Speaking Course

Optimization Simulation of Dance Technical Movements and Music Matching Based on Multifeature Fusion

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

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