Analysis of Course “Applied Mathematics” in Postgraduate Education Based on Change of Training Objective

Liu, Shuai; Fu, Weina; Qiang, Li

doi:10.1007/978-3-319-93719-9_14

Cited by 1 publication

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“…However, in the early 1990s, the country and relevant researchers realized the importance of this technology. Since then, China's virtual reality technology has been developing in full swing [8] [11]. Currently, motion capture technology combined with virtual reality technology has been gradually applied in intangible heritage protection, film and television production, game animation, medical rehabilitation engineering, and other aspects.…”

Section: Related Workmentioning

confidence: 99%

Artificial Intelligence-driven Training and Improvement Methods for College Students' Line Dancing

WANG

2024

IJACSA

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With the advancement of computer technology, artificial intelligence technology has gradually become a research focus, and the thinking of relevant researchers has gradually transferred from the computer to the interaction between computers and humans. Artificial intelligence has begun to appear in various industries. With its rigorous computing logic and efficient computing speed, artificial intelligence technology begins to replace high-precision or highly repetitive work in work gradually. However, no specific data supports the specific work efficiency and output. In this context, this essay studies the methods of AI in the training and improvement of college students' line dancing levels. Virtual reality technology mainly undertakes functions such as virtual space modeling, sound positioning, sensory feedback, voice interaction, visual and spatial tracking, to ensure accurate positioning during choreography and motion capture. In this case, mechanical capture devices are used for motion capture in virtual reality space. This article uses intelligent capture technology based on virtual reality technology and artificial intelligence algorithms to capture and analyze the dance posture, generate analysis reports in a timely manner, and provide correction and suggestions for the dance posture. The final results show that AI can improve the training efficiency of line dancing of college students and can increase the innovation degree and method of dance posture by 7% to 13% compared with pure artificial. It shows that artificial intelligence technology plays a good role in college students' overall line dance training. At the same time, this paper also argues that artificial intelligence technology can effectively improve the overall productivity of traditional industries.

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Section: Related Workmentioning

confidence: 99%

Artificial Intelligence-driven Training and Improvement Methods for College Students' Line Dancing

WANG

2024

IJACSA

View full text Add to dashboard Cite

show abstract

Analysis of Course “Applied Mathematics” in Postgraduate Education Based on Change of Training Objective

Cited by 1 publication

References 9 publications

Artificial Intelligence-driven Training and Improvement Methods for College Students' Line Dancing

Artificial Intelligence-driven Training and Improvement Methods for College Students' Line Dancing

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