Micro Expression Training Tool 3.06/11/2023 Then, supervised contrastive learning is introduced to learn the key representation of micro-expressions for classification. First, a novel dual-terminal micro-expression acquisition strategy is proposed and applied to obtain optical flow maps, which aims to expand the datasets and reduce the adverse impact of micro-expression spotting. In this paper, a framework for micro-expression recognition with supervised contrastive learning (MER-Supcon) is proposed, and the primary purpose is to extract crucial features of micro-expressions and overcome the noise caused by irrelevant facial movements. Because of the subtle and diverse facial muscles change, extracting effective features to recognize micro-expressions is challenging. Facial micro-expressions are involuntary movements of facial muscles that expose individual underlying emotions.
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