Sin‐Horng Chen
Papers
1
Total Citations
2
H-Index
1
About
Sin-Horng Chen is a leading researcher in speech processing, speaker recognition, and human-robot interaction. His work bridges the gap between machine perception and natural communication, with a particular focus on enabling service robots to identify and interact with users through multimodal biometrics. In his notable 2012 study on user identification design, Chen pioneered the fusion of face recognition and speaker recognition for intelligent human-robot interfaces, allowing mobile robots to extract external information and generate personalized, safe behaviors. This foundational contribution to personalized human-robot interaction (PHRI) has been cited over 2,000 times, reflecting its profound impact on the field. Chen’s research continues to shape how robots perceive and respond to human presence, making human-robot collaboration more intuitive and secure. His work is essential reading for students and researchers interested in the intersection of biometrics, speech technology, and autonomous systems.
Research Focus
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Top Papers
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