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Children's Education APP Color Matching Design Method Based on ACGAN

Author(s)

Ying Nie1,*, Xian Zhou2, Yongzheng Tie1

Affiliation(s)

1School of Mechatronic Engineering, Xi'an Technological University, Xi'an, Shaanxi, China 2School of Design, Xi'an Technological University, Xi'an, Shaanxi, China *Corresponding Author.

Abstract

To achieve automated color scheme generation and enhance design efficiency and creativity, a method utilizing Auxiliary Classifier Generative Adversarial Networks (ACGAN) is proposed to assist designers in creating color schemes for early education APP interfaces. Firstly, interface samples from multiple successful early education APPs are collected, ensuring they are representative in terms of color pairing and thematic styles, and an excellent color scheme dataset is established. Secondly, the actual needs and preferences of children towards color schemes are identified, resulting in a target color sample set with six basic hue categories as labels. Then, an ACGAN model is constructed and trained on this target color sample set to obtain an automated color scheme generator that can produce color designs for early education APP based on the selected hue.

Keywords

Auxiliary Classifier Generative Adversarial Network; Early Education App; Color Psychology; Child Psychology

References

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