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Hierarchical Model of Graphical Human-computer Interface Based on Digital Twin and Visual Perception

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DOI: 10.23977/jaip.2024.070401 | Downloads: 11 | Views: 451

Author(s)

Ruoqian Yang 1, Xingfang Peng 1

Affiliation(s)

1 School of Economics and Management, Zhongshan Polytechnic, Zhongshan, 528403, China

Corresponding Author

Ruoqian Yang

ABSTRACT

With the development of science and technology in recent years, human-computer interaction has attracted more and more people's attention. Human-computer interaction not only brings great convenience to people's lives, but also can accurately recognize human images, which has been widely used in many fields. Humans are visual animals, so this paper also introduces visual perception in detail. This paper aims to study how to analyze and study the layered model of graphical human-computer interaction interface based on digital twin and visual perception. This paper proposes the basic concepts of digital twin and visual perception, and proposes a series of algorithms based on visual perception. The experimental results of this paper show that the digital twin has increased from 22% in 2015 to 47% in 2019, an increase of 25%, so it can be seen that the development of the digital twin is very rapid. Human-computer interaction has also been greatly developed, and human-computer interaction is of great significance to people's real life. Therefore, it is necessary to study the layered model of graphical human-computer interaction interface based on digital twin and visual perception.

KEYWORDS

Digital Twin, Visual Perception, Human-computer Interface, Color Extraction

CITE THIS PAPER

Ruoqian Yang, Xingfang Peng, Hierarchical Model of Graphical Human-computer Interface Based on Digital Twin and Visual Perception. Journal of Artificial Intelligence Practice (2024) Vol. 7: 1-10. DOI: http://dx.doi.org/10.23977/jaip.2024.070401.

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