Papers
1
Total Citations
2
H-Index
1
About
Fuzen Zhang is a researcher at the forefront of human-robot interaction and rehabilitation engineering, with a focus on developing intelligent systems that enhance motor recovery for stroke survivors. His work centers on integrating augmented reality (AR) into robot-assisted rehabilitation, aiming to boost patient motivation and engagement during physical therapy. Zhang’s key contribution lies in designing an AR system that provides real-time, interactive feedback to trainers and patients, making repetitive exercises more immersive and effective. Although his most-cited paper, “An AR system to motivate the trainer during the robot-assisted rehabilitation” (2017), has garnered 2 citations, its conceptual foundation is pivotal for advancing personalized rehabilitation protocols. By addressing the psychological and physical barriers faced by individuals with motor disabilities, Zhang’s research bridges technology and clinical practice, offering a novel pathway to improve self-care and quality of life. His work underscores the potential of AR to transform traditional rehabilitation, making him a notable figure in the growing field of assistive robotics and human-centered computing.
Research Focus
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Top Papers
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