Xuetang Wu

Papers

Total Citations

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About

Xuetang Wu’s research lies at the intersection of assistive robotics, human motion analysis, and rehabilitation engineering, with a focus on developing intelligent systems to enhance mobility and quality of life for elderly and disabled individuals. Her most-cited work, “Human gait modeling and gait analysis based on Kinect” (2014, 18 citations), pioneered the use of low-cost, non-wearable sensors for real-time gait monitoring, offering a practical alternative to laboratory-based systems by enabling continuous, unobtrusive assessment of functional rehabilitation progress. This contribution addresses a critical gap in remote health monitoring, providing valuable data for clinicians. In her subsequent work, “An intelligent cane walker robot based on force control” (2015, 9 citations), Wu advanced assistive technology by designing a robotic walking aid that interprets user intention through force dynamics, allowing for intuitive, comfortable support during ambulation. Her research demonstrates a clear trajectory from sensor-based analysis to active robotic intervention, emphasizing user-centered design. Though her citation counts are modest, Wu’s work is notable for its practical, translational focus, bridging engineering and clinical needs. Her achievements highlight a commitment to developing accessible, real-world solutions that empower individuals with mobility challenges, making her a promising voice in the field of human-robot interaction and rehabilitation robotics.