Chih-Feng Cheng
Papers
2
Total Citations
9
H-Index
2
About
Chih-Feng Cheng is a rising researcher at the intersection of affective computing, human–robot collaboration, and applied machine learning. His work focuses on making advanced biometric and activity recognition technologies more accessible and practical for real-world industrial and user experience applications. In a notable 2023 study, Cheng demonstrated how design science research methodology can be leveraged to build a low-cost wireless biofeedback system, replacing expensive, subjective self-evaluation tools with objective, affordable affective computing solutions. This work has garnered 6 citations and highlights his commitment to democratizing emotion-sensing technology. More recently, in 2025, Cheng has advanced the field of human activity recognition (HAR) by developing machine learning models for sequential motion recognition aimed at improving logistics operations efficiency. With 3 citations to date, this contribution is critical for enabling seamless human–robot collaboration in industrial settings. By bridging the gap between cost-effective hardware and sophisticated AI, Cheng’s research promises to reshape how we measure human experience and optimize workplace productivity.
Research Focus
Key Achievements
Top Papers
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