Ming-Feng Wu
Papers
1
Total Citations
8
H-Index
1
About
Ming-Feng Wu is a researcher specializing in sensor-based localization systems and smart infrastructure technologies. His work focuses on developing innovative force-sensing platforms for indoor positioning, addressing the limitations of traditional GPS-reliant navigation in enclosed environments. Wu’s most-cited paper, "Realization and performance assessment of a force-sensing based smart floor panel for indoor localization applications" (2018), demonstrates his core contribution: designing and evaluating a floor-integrated sensor array that detects footstep-induced forces to track occupants without requiring wearable devices or cameras. This approach enhances privacy and robustness in applications like smart buildings, healthcare monitoring, and security. With 8 citations, this work has laid foundational groundwork for non-intrusive indoor localization, inspiring follow-up studies on pressure-sensitive surfaces and machine learning integration. Wu’s research bridges mechanical engineering, signal processing, and human-computer interaction, offering scalable solutions for ambient intelligence. His achievements include advancing low-cost, high-accuracy sensing systems that operate under real-world conditions, a critical step toward seamless smart environments. For students and researchers, Wu’s work exemplifies how combining fundamental sensor physics with practical deployment challenges can yield impactful technologies for next-generation indoor navigation and occupancy sensing.
Research Focus
Key Achievements
Top Papers
- 1