Siew Chin Neoh

Papers

Total Citations

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About

Dr. Siew Chin Neoh is a leading researcher in human-robot interaction and affective computing, with a focus on enabling machines to perceive and respond to human emotions. Her work bridges computer vision and robotics, particularly through the development of adaptive facial emotion recognition systems for humanoid robots. Her most cited paper (2015, 62 citations) introduces a real-time framework that combines facial point detection with emotion classification, allowing robots to interpret human expressions even under challenging conditions like pose variations up to 60 degrees. In earlier foundational work (2014, 12 citations), she demonstrated an intelligent system using Active Appearance Models for robust face tracking and emotion detection, laying the groundwork for more natural human-robot communication. Dr. Neoh’s contributions are pivotal in advancing socially aware robotics, with applications in assistive technologies, entertainment, and collaborative automation. Her research not only enhances machine perception but also addresses real-world constraints like lighting and head orientation, making her work highly cited and influential in the fields of affective computing and intelligent robotics.