Ming-Ni Wu

National Taichung University of Science and Technology

Papers

Total Citations

H-Index

About

Ming-Ni Wu is a researcher whose work lies at the intersection of smart home technology and assistive healthcare, with a particular focus on fall detection systems for elderly and vulnerable populations. Her most-cited paper, "Fall Down Detection Under Smart Home System" (2015), has garnered 32 citations, reflecting its foundational role in developing non-intrusive, sensor-based monitoring solutions that enhance safety and independence at home. Wu’s contributions address critical challenges in ambient assisted living, including real-time event recognition and the integration of low-cost sensors into everyday environments. By advancing algorithms that distinguish falls from normal activities, her work has informed the design of more responsive and reliable smart home systems. Though her citation count is modest, the practical implications of her research are significant, offering a pathway to reduce injury risks and emergency response times. Wu’s achievements underscore a commitment to translating engineering innovation into tangible benefits for aging societies, making her a notable voice in the growing field of health-focused smart environments.