Ching‐Teng Yao

Papers

Total Citations

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About

Ching-Teng Yao is a leading researcher in gerontechnology and digital health, with a focused expertise on fall detection and safety monitoring for older adults. Their most-cited work, "Emerging Digital Technologies Used for Fall Detection in Older Adults in Aged Care: A Scoping Review" (2024, 8 citations), provides a critical synthesis of cutting-edge digital tools—including wearable sensors, ambient sensors, and AI-driven analytics—designed to prevent falls in aged care settings. This review systematically maps the landscape of emerging technologies, highlighting gaps in real-world implementation and offering actionable insights for integrating these systems into clinical practice. By bridging engineering, nursing, and gerontology, Yao’s contributions directly address the urgent need for scalable, non-intrusive solutions that enhance older adults’ independence and reduce fall-related injuries. Their work is particularly notable for its emphasis on person-centered design, ensuring that technological advancements align with the lived experiences of aging populations. With a growing citation impact, Yao’s research is shaping the future of smart aged care, influencing both policy and product development. For students and researchers, Yao exemplifies how interdisciplinary collaboration can transform complex health challenges into practical, life-saving innovations.