Development and application of emotion recognition technology — a systematic literature review

作者：Runfang Guo, Hongfei Guo, Liwen Wang, Mengmeng Chen, Yang Dong, Bin Li · 发表于：BMC Psychology · 年份：2024 · DOI：10.1186/s40359-024-01581-4 · 被引用次数：90 · 研究领域：Emotion and Mood Recognition、EEG and Brain-Computer Interfaces、Digital Mental Health Interventions

BACKGROUND: There is a mutual influence between emotions and diseases. Thus, the subject of emotions has gained increasing attention. OBJECTIVE: The primary objective of this study was to conduct a comprehensive review of the developments in emotion recognition technology over the past decade. This review aimed to gain insights into the trends and real-world effects of emotion recognition technology by examining its practical applications in different settings, including hospitals and home environments. METHODS: This study followed the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines and included a search of 4 electronic databases, namely, PubMed, Web of Science, Google Scholar and IEEE Xplore, to identify eligible studies published between 2013 and 2023. The quality of the studies was assessed using the Critical Appraisal Skills Programme (CASP) criteria. The key information from the studies, including the study populations, application scenarios, and technological methods employed, was summarized and analyzed. RESULTS: In a systematic literature review of the 44 studies that we analyzed the development and impact of emotion recognition technology in the field of medicine from three distinct perspectives: "application scenarios," "techniques of multiple modalities," and "clinical applications." The following three impacts were identified: (i) The advancement of emotion recognition technology has facilitated remote emotion recognition and treatment in hosp...