Design of Video Teaching System Based on Virtual Reality Technology

Wang, Song; Zhang, Hanwen; Xiang, Meng

doi:10.18686/esta.v7i4.167

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…where 𝑤(𝑜𝑢𝑡)refers to the classifier weight of the output layer. The final combined objective function of the pretrained DCAlexNet architecture is defined in Equation (10). ] (10)…”

Section: Dct Based Preprocessingmentioning

confidence: 99%

“…Multiple avenues of study have been developed with the goal to propose strategies that utilise the application of technology for communication and information (ICT) for the individualised enhancement of emotional skills [7]. According to [10], these methods allow the user to insert themselves into the real world more comfortably, entertainingly, and safely. Additionally, these tools can be utilised on a variety of hardware and software, including tablets, desktop computers, and smartphones.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most significant platforms for video communication in today's culture is the video management system [10]. With the continued advancement of information technology, major video websites, businesses and organisations with pertinent requirements, elementary and secondary schools, and all types of training facilities have established their own video resource management systems, enabling networking and information management for video release and on-demand [11].…”

Section: Introductionmentioning

confidence: 99%

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Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

Liang

2024

jes

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An important component of human existence and behaviour is emotion. The automatic identification of emotions has gained significant importance in the domains of affective computing and human-machine interaction in recent times. Getting pictures of people's facial expressions is one of the simplest and least expensive methods for identifying emotions among the several physiological and kinematic data that may be utilised. Because of variations in anatomy, culture, and environment, developing a generalised, cross-subject model for emotion identification from facial expression remains difficult.This study presents an intelligent classroom that uses e-learning to help persons with autism spectrum condition strengthen their emotional abilities. Monitoring autism child engagement and participation in class while looking for signs of attention is necessary for effective classroom education. Teaching quality is increasingly being determined by the teachers' capacity to assess and evaluate the behaviour of their pupils in the classroom. Modern classroom systems are enhanced with the most recent technologies in educational institutions to make them more interactive, student-centered, and personalised. Even with these tools, it can be challenging for teachers to gauge their pupils' levels of interest and focus. This study makes use of contemporary technology to establish a real-time, intelligent vision-based classroom that can track students' moods, attendance, and levels of focus even when they are wearing face masks. In order to evaluate students' attention or lack thereof in a classroom, we trained AlexNet models that recognise student behaviour, including recognising facial expressions. Another designed to manage the irregular relationship between pupils and activities is the Interaction Students Education Neural Network ( Int_Edu_NN). The Q-matrix is used to firstly determine the pupil variable and the assignment indicator. This network is analyzed using two datasets in terms of various parameters and hence the proposed Int_Edu_NN achieves 99.% and 98% of accuracy.

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Section: Dct Based Preprocessingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

Liang

2024

jes

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“…Jiao J H used the big data of the Internet of Things to analyze the theoretical curriculum of physical education, which provided a reference value for the theoretical research of physical education [10]. Wang S used the big data analysis of the Internet of Things to study the application of film and television teaching in teaching theory courses [11]. Ding J discussed the construction of smart campus based on cloud computing and the Internet of Things, and proposed a smart campus construction plan based on big data [12].…”

Section: Introductionmentioning

confidence: 99%

Emotional Linkage among Teacher-Student in English Multimedia Smart Classroom Teaching in the Internet of Things Big Data Era

2023

aetp

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At this stage, multimedia has been increasingly widely used in college English education with the advantages of rich content, convenient updating and various forms, providing rich and novel resources for college English teaching. However, compared with the traditional classroom, the multimedia smart classroom relatively reduces the linkage between teachers and students, making it difficult to form emotional linkage between teachers and students in the classroom teaching situation, which seriously affects the teaching effect. In view of this situation, this paper studied the English multimedia smart classroom in the era of Internet of Things big data and the emotional linkage between teachers and students in classroom teaching. This paper conducted experiments and analysed on the emotional linkage between teachers and students from five aspects: students' learning enthusiasm, learning efficiency, academic level, teachers and students' extra-classroom linkage, and teachers' satisfaction. The experimental results showed that under the condition of active emotional linkage between teachers and students, students' English learning enthusiasm has increased by 6.76%, students' English academic level has increased by 4.08%, and students' satisfaction with teachers has increased by 4.92%. Positive emotional linkage between teachers and students can effectively improve students' English learning enthusiasm and English learning performance, and can increase students' recognition of teachers.

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“…In a highly informational society, bringing virtual reality technology into teaching experiments and learning training can bring better teaching experiences. And its rich sensory stimulation and immersive teaching experience provide teachers and students with new teaching paths [1][2][3]. With the improvement of people's requirements for virtual technology, the accuracy of gesture recognition systems and the requirements for visual tasks are also increasing in response.…”

Section: Introductionmentioning

confidence: 99%

The Application of Virtual Technology Based on Posture Recognition in Art Design Teaching

Gao¹

2023

IJACSA

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With the development of virtual technology, posture recognition technology has been integrated into virtual technology. This new technology allows users to further understand and observe the activities carried out in life scenes based on their original observation of the external world. And it enables them to make intelligent decisions. Existing posture recognition cannot meet the requirements of precise positioning in virtual environments.Therefore, a two-stage three-dimensional pose recognition model is proposed. The experiment illustrates that the three-dimensional gesture recognition performance is excellent. In addition, under the ablation experiment, the error accuracy of the research model decreased by more than 5 mm, and the overall error accuracy decreased by 10%. In the P-R curve, the accuracy rate of the model reaches 0.741, and the recall rate reaches 0.65. When conducting empirical analysis, the virtual posture disassembly action is complete; the disassembly error is less than 5%, and the disassembly error accuracy is good. The fit degree of the leg bending amplitude reaches over 96%, and the fit degree of the arm bending amplitude reaches over 95%. When the model is applied to actual teaching, the overall satisfaction score of teachers and students reaches 94.6 points. This has effectively improved the teaching effect of art design and is of great significance to the development of education in China.

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Design of Video Teaching System Based on Virtual Reality Technology

Cited by 7 publications

References 4 publications

Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

Emotional Linkage among Teacher-Student in English Multimedia Smart Classroom Teaching in the Internet of Things Big Data Era

The Application of Virtual Technology Based on Posture Recognition in Art Design Teaching

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