Facial Micro-Expression Analysis: A Survey of Features and Algorithms
2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII)(2023)
摘要
Unlike traditional facial expressions, micro-expressions are unconscious and brief facial expressions that true emotions people try to hide. Therefore, they can provide important information in a wide range of applications, including lie detection and criminal investigations. However, due to their brevity and low intensity, detecting and recognizing micro-expressions is challenging, and micro-expression analysis has become an active research field due to its inherent uniqueness and complexity in recent years. In this review paper, the research on micro-expression analysis is surveyed, including the neuropsychological basis, features, discovery algorithms, recognition algorithms, application and evaluation of state-of- the-art methods. For each aspect, the basic techniques, advanced developments, and key challenges are discussed and analyzed. Finally, some potential future research directions are explored and outlined.
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关键词
Micro-Expressions,Features Analysis,State-of- the-Art Techniques,Recognition algorithms
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