Yujin Hwang

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About

Yujin Hwang is a researcher at the forefront of affective computing and human-robot interaction, with a particular focus on emotion recognition technologies that enable more natural social robotics. Their most-cited work, the 2022 "Survey on Emotion Recognition Databases," provides a comprehensive taxonomy of datasets used to train emotion-aware systems, addressing a critical gap as the social robotics market expands. By systematically cataloging databases—from those based on the Facial Action Coding System (FACS) to multimodal emotion corpora—Hwang’s survey serves as an essential reference for researchers developing robots that can interpret human emotional states. This foundational contribution has garnered early citations, reflecting its growing influence in the field. Hwang’s research bridges computer vision, psychology, and robotics, offering practical frameworks for integrating emotion recognition into interactive machines. Their work is particularly valuable for students and engineers seeking to understand the landscape of available data resources, making Hwang a key figure in advancing the emotional intelligence of next-generation social robots.