Papers
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Total Citations
41
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About
Zhen Shu is a researcher at the forefront of assistive robotics and human-robot interaction, with a particular focus on wearable sensing technologies and intelligent mobility aids. Their most-cited work, "Posture estimation and human support using wearable sensors and walking-aid robot" (2014, 41 citations), demonstrates a pioneering integration of inertial measurement units with robotic walkers to estimate user posture in real time. This research directly addresses the critical challenge of fall prevention and mobility support for elderly and physically impaired individuals, offering a non-intrusive, sensor-driven approach to enhance user safety and autonomy. By fusing data from wearable sensors with robotic control algorithms, Shu's work enables walking-aid robots to adapt their support dynamically based on the user's body orientation and movement intentions. This contribution has been influential in the development of context-aware assistive devices, bridging the gap between passive mobility aids and proactive robotic companions. Shu's research continues to shape how wearable technology and robotics can collaboratively improve quality of life for aging populations, making their work essential reading for students and researchers in rehabilitation engineering and human-centered robotics.
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Top Papers
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