Learning to Read Facial Expressions

The field of facial behavior analysis stands at the forefront of advancing intelligent systems, with applications that span clinical diagnostics, mental health assessment, customer service optimization, strategic business negotiations, and law enforcement. At the heart of this domain is the nuanced study of facial expressions, particularly micro-expressions, which are fleeting and subtle in nature, often lasting no more than half a second and characterized by minimal but significant facial movements. This research talk will delve into the intricacies of deciphering facial expressions, highlighting the complexities associated with micro-expressions due to their ephemeral nature and the low-amplitude facial cues they present. We will present our latest findings and methodologies that aim to enhance the accuracy and sensitivity of expression recognition technologies.