An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge

Facial micro-expressions indicate brief and subtle facial movements that appear during emotional communication. In comparison to macro-expressions, are more challenging be analyzed due the short span of time fine-grained changes. recent years, micro-expression recognition (MER) has drawn much attention because it can benefit a wide range applications, e.g. police interrogation, clinical diagnosis, depression analysis, business negotiation. this survey, we offer fresh overview discuss new research directions challenges these days for MER tasks. For example, review approaches from three novel aspects: macro-to-micro adaptation, based on key apex frames, action units. Moreover, mitigate problem limited biased ME data, synthetic data generation is surveyed diversity enrichment data. Since spotting boost state-of-the-art works also introduced in paper. At last, provide potential solutions as well possible further investigation.