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Intelligent software-driven immersive environment for online political guiding based on brain-computer interface and autonomous systems

Authors
  • Wang, Yingchun1, 2
  • Hu, Weijun3
  • 1 Shaanxi Normal University, Xi’an, China , Xi’an (China)
  • 2 Xi’an University of Posts and Telecommunications, Xi’an, China , Xi’an (China)
  • 3 Art College of Jilin University, Jilin, China , Jilin (China)
Type
Published Article
Journal
Automated Software Engineering
Publisher
Springer US
Publication Date
Jan 03, 2022
Volume
29
Issue
1
Identifiers
DOI: 10.1007/s10515-021-00300-2
Source
Springer Nature
Keywords
Disciplines
  • Special Issue on Intelligent Software-Driven Autonomous Systems
License
Yellow

Abstract

Along with the rapid development of modern information society, the network has been widely used in social groups. However, the network is a double-edged sword, unhealthy information is easy to harm the psychology of college students. The use of network audio-visual culture to carry out political guiding in colleges ainto cyberspace has become an inevitable direction of development. As technology changes education, virtual reality technology also applies to education. Technology makes up for the defects. VR brings a new experience to education and skillfully avoids the defects of two-dimensional video materials. The immersive interactive environment changes the traditional scene into a virtual 3D scene, giving students an immersive learning experience. Cognitive model is a kind of psychological and thinking structure generated in the process of people's cognition of the objective world, which is composed of knowledge and their connection structure. Brain computer Interface (BCI) is a communication control system that does not depend on the normal output pathway of peripheral nerve and muscle tissue of the brain. It is a technology that uses brain signal processing technology to enhance the interaction between human and environment. Therefore, this paper studies an intelligent software-driven immersive environment for online political guiding based on brain-computer interface and autonomous systems. The designed framework is implemented through the data set testing.

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