Pei Hsien Lin
Papers
4
Total Citations
45
H-Index
4
About
Pei Hsien Lin is a robotics researcher whose work sits at the intersection of indoor localization, human-robot interaction, and affective computing. Lin’s key contributions include developing a dynamic triangulation method that fuses wireless Pyroelectric Infrared (PIR) sensory data for robust indoor robot and human localization—a foundational approach cited 20 times. In the realm of social robotics, Lin tackled the challenge of facial expression recognition by enhancing Active Appearance Models (AAM) to overcome fitting failures across different users, and by introducing component-based AAMs aligned with optical flow for precise facial feature tracking. A particularly innovative achievement is the confidence fusion-based emotion recognition system, which enables robots to simultaneously track multiple individuals, recognize their facial expressions, and infer social atmosphere—paving the way for more natural human-robot collaboration. With over 45 combined citations across these four core papers, Lin’s integrated systems approach—bridging sensing, localization, and emotional intelligence—has advanced the capability of service robots to perceive and respond to human presence and affect in real-world environments.
Research Focus
Key Achievements
Top Papers
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