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1. MMME MMME Public template

   We developd a novel multimodal Micro-Expression dataset (MMME), which, for the first time, enables synchronized collection of facial action signals (Micro-Expressions), central nervous system signa…

   Jupyter Notebook 6

2. MPFNet MPFNet Public

   This paper introduces the Multi-Prior Fusion Network (MPFNet), leveraging a progressive training strategy to optimize MER tasks.

   Python 4 1

3. ME-PS ME-PS Public

   We replicated a scenario in which individuals suppress facial expressions to conceal emotions under intense emotional stimuli, while simultaneously recording micro-expressions (MEs), electroencepha…

   Jupyter Notebook 4 1

4. MEs-EEG MEs-EEG Public

   We develops a multimodal dataset integrating MEs and EEG signals, using feature fusion to classify seven distinct emotional states.

   Jupyter Notebook 3

5. MMHE MMHE Public

   We developed a multimodal hidden-emotion dataset that integrates facial micro-expressions, EEG, and multiple peripheral physiological signals, enabling precise capture and multidimensional analysis…

   Jupyter Notebook 1

6. CMCL-Net CMCL-Net Public

   We developed a Transformer-based Cross-Modal Contrastive Learning Network (CMCL-Net) to achieve preliminary detection of ME samples.

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