我国微表情识别应用现状：基于CiteSpace的知识图谱分析

Application Status of Micro-Expression Recognition in China: Knowledge Graph Analysis Based on CiteSpace

摘要: 目的：分析我国微表情识别应用研究现状和研究热点，归纳微表情识别技术的应用领域。方法：本文利用CiteSpace进行文献分析，以中国知网(CNKI)为数据的来源，对我国微表情识别应用进行搜索，得到需要的有效文献146篇并对此进行可视化分析。结果：研究热点主要在侦察应用、情绪识别和人脸识别等方面；陈晋音博士和中国科学院心理研究所的傅小兰博士为最大的核心作者合作群；微表情的识别应用在我国社会安全、教育、侦查讯问、医疗诊断等领域得到研究。结论：本文通过对微表情的识别应用的文献研究，阐述微表情识别应用的研究现状，总结出微表情在我国被运用的实际场景，未来我国微表情研究者可着重关注微表情应用的实际操作，将微表情普及到人民群众的生活中。

Abstract: Objective: To analyze the current research status and research hotspots of micro-expression recognition application in China, and to summarize the application field of micro-expression rec-ognition technology. Methods: In this paper, CiteSpace was used for literature analysis, cnKI was used as the source of data, and the micro-expression recognition application in China was searched, and 146 valid pieces of literature were obtained and visually analyzed. Results: The research hotspots were mainly in the areas of reconnaissance applications, emotion recognition and face recognition. Dr. Jinyin Chen and Dr. Xiaolan Fu of the Institute of Psychology, Chinese Academy of Sciences are the largest core author collaboration group; the recognition application of micro-expressions has been studied in the fields of social security, education, investigation and interrogation, and medical diagnosis in China. Conclusion: Through the literature study on the recognition application of micro-expressions, this paper elaborates the research status of micro-expression recognition applications, summarizes the actual scenes of micro-expressions being used in China, and in the future, micro-expression researchers in China can focus on the practical operation of micro-expression applications and popularize micro-expressions into the lives of the people.