MERASTC Micro Expression Recognition Using Effective Feature Encodings and 2D Convolutional Neural N

Abstract:

Micro expressions are rapid, involuntary facial expressions that occur in response to emotional stimuli. Recognizing these subtle expressions plays a crucial role in understanding human emotions and intentions, with applications ranging from security and law enforcement to psychology and human-computer interaction. In this paper, we propose MERASTC, a novel approach for micro expression recognition utilizing effective feature encodings and 2D Convolutional Neural Networks (CNNs).