Ching‐Hui Chen

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About

Ching-Hui Chen is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and intelligent environments. Her work focuses on creating emotionally aware systems and advancing humanoid robotics, with a particular emphasis on bridging the gap between human behavior and machine understanding. Chen’s most impactful contribution, "Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant: A Case of Smart Campus" (2020), has garnered 64 citations and stands as a cornerstone in the field of AIoT. This study demonstrates how emotionally intelligent virtual assistants can transform spaces like smart campuses by integrating 5G, big data, and cloud technologies to create responsive, human-centric environments. In her earlier work, "Dynamic imitation of human motion for humanoid robot" (2017), Chen pioneered methods for real-time human motion capture using Kinect v2 and wireless transmission, enabling robots like DARwIn-OP to mimic human gestures with precision. This research laid foundational groundwork for natural human-robot collaboration. Chen’s contributions are shaping the future of smart spaces and socially aware robotics, making her a key figure in developing technologies that understand and adapt to human emotional and physical states.