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A Study on Virtual Reality Technology for College Oral English Online Self-help Learning System

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2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1379 ))

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Abstract

In order to improve the online self-help learning ability of college oral English, a virtual reality-based online self-help learning system for college oral English is proposed. The Internet of Things networking technology is used to design the network of online self-help learning system for college oral English. VR technology is used to simulate the virtual reality and reconstruct the virtual scene of online self-help learning for college oral English. The image processing of online self-help learning for college oral English is carried out in the data processing module. Combined with ISA/EISA framework, the network design of online self-help learning system for college oral English is carried out. The 32-bit embedded design method is used for the integrated information collection and fuzzy scheduling of college oral English online self-help learning system, and the core controller is used for college oral English online self-help learning and information sampling. VR technology is used to simulate the virtual reality and reconstruct the virtual scene of online self-help learning of college oral English, and the online self-help learning of college oral English is carried out in A/D and D/A. The simulation results show that the designed online self-help learning system for college oral English is stable and reliable.

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Correspondence to Wenjuan Dong .

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Dong, W., Wang, G. (2021). A Study on Virtual Reality Technology for College Oral English Online Self-help Learning System. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_54

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