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題目：Empowering Aging with Technology to Prevent Falls and Injuries
時(shí)間：2025年4月29日 9:00
地點(diǎn)：機(jī)械與動(dòng)力工程學(xué)院 F103會(huì)議室
邀請(qǐng)人：蔣祖華 教授（工業(yè)工程與管理系）
Biography
Dr. Shuping Xiong is a Full Professor in the Department of Industrial & Systems Engineering at the Korea Advanced Institute of Science and Technology (KAIST), where he directs the Human Factors and Ergonomics Laboratory and has served as Associate Vice President of International Engagement. Dr. Xiong received his Ph.D. in Industrial Engineering from the Hong Kong University of Science and Technology (HKUST) and has been a Visiting Professor at Purdue University (USA, 2024-2025).
Dr. Xiong’s research focuses on technology for healthy aging, HCI, and digital human modeling for ergonomic design. His work has been supported by prominent agencies such as the National Research Foundation of Korea (NRF), IITP, Samsung Electronics, and Samsung Display. He has published over 130 academic papers, many of which appear in flagship ergonomics journals, including Applied Ergonomics, Ergonomics, International Journal of Human-Computer Studies, and International Journal of Human-Computer Interaction. His research team has received several awards, including the KAIST Global Research Cooperation Award (2023), the International Journal of Industrial Ergonomics Most Cited Articles Awards (2023 & 2011), the Applied Ergonomics Best Paper Award (2015), and the Best Conference Paper Awards at AHFE2021, ISOES2019, and CES2011. Dr. Xiong is also an active contributor to the academic community, serving on editorial boards of several renowned international journals in human factors/ergonomics, and aging, including Ergonomics, International Journal of Industrial Ergonomics, Journal of Physiological Anthropology, and Frontiers in Aging Neuroscience.
Abstract
Population aging presents a critical global challenge, with falls among older adults being a leading cause of injury and mortality. Such incidents significantly reduce the quality of life for seniors and impose substantial burdens on healthcare systems. This talk will introduce innovative technologies for fall risk assessment, proactive intervention, and real-time fall status monitoring and injury prevention. Special focus will be given to our team’s recent advancements in developing an AI-driven wearable protective airbag designed to safeguard high-risk elderly individuals. The talk will conclude with an exploration of future research directions in fall and injury prevention.
上海交大
機(jī)械動(dòng)力學(xué)院
上海交大
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地址：上海市東川路800號(hào)上海交通大學(xué)閔行校區(qū)機(jī)械與動(dòng)力工程學(xué)院
郵編：200240
Email：sjtume@sjtu.edu.cn