Micro Expression

Micro-expressions are fleeting, involuntary facial movements revealing concealed emotions. Research focuses on improving their automated detection and recognition, employing advanced deep learning architectures like transformers and graph convolutional networks to analyze spatiotemporal patterns in facial motion and texture. These advancements aim to enhance accuracy and efficiency, particularly in addressing challenges posed by the subtle nature and limited availability of micro-expression data. The field holds significant potential for applications in lie detection, mental health assessment, and human-computer interaction.