Shanghai University, Shanghai Academy of Fine Arts, Shanghai 200444, China.
J Environ Public Health. 2022 Aug 30;2022:1151676. doi: 10.1155/2022/1151676. eCollection 2022.
Since lacquer painting first appeared in the world of art, research into it has grown steadily. People have developed a keen interest in modern lacquer painting as a result of the extensive study of lacquer culture in both domestic and international academic circles. Many artists and art enthusiasts have contributed significantly to the study and research of lacquer painting and have made helpful attempts at modern lacquer painting. But it is challenging to describe the emotion that a lacquer painting's color conveys. This paper presents a decision-making framework for emotional cognitive learning based on the theory of emotional cognitive evaluation because there are relatively few researchers who have specifically studied the relationship between the creation of lacquer paintings and emotions and because there are also few research materials and documents for reference. The assessment of an emotional state is the central component of this framework. The observation module in the model framework is used to gather the emotional data that the lacquer painting expresses. The issue of emotional expression in lacquer painting is resolved by the emotional evaluation system, which combines the preprocessed information with prior knowledge to evaluate. The importance of affective cognitive expression in lacquer painting and the necessity of affective computing in the fields of machine learning and decision control is obtained on the basis of discussing the research status and content of affective cognition and affective computing. The efficiency of expression was increased by 1.3 percent as a result.
自从漆画首次出现在艺术世界以来，对其的研究一直在稳步发展。由于国内外学术界对漆文化进行了广泛的研究，人们对现代漆画产生了浓厚的兴趣。许多艺术家和艺术爱好者对漆画的研究和探索做出了重要贡献，并对现代漆画进行了有益的尝试。但是，要描述一幅漆画的色彩所传达的情感是很困难的。由于很少有研究人员专门研究漆画创作与情感之间的关系，也很少有研究材料和文献可供参考，因此本文提出了一种基于情感认知评价理论的情感认知学习决策框架。情感状态的评估是该框架的核心组成部分。模型框架中的观察模块用于收集漆画所表达的情感数据。情感评估系统结合预处理信息和先验知识来评估，从而解决漆画中的情感表达问题。在讨论情感认知和情感计算的研究现状和内容的基础上，得出了漆画中情感认知表达的重要性以及情感计算在机器学习和决策控制领域的必要性。表达效率提高了 1.3%。
