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Total Citations
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About
Dr. Weiya Chen is a leading researcher in rehabilitation robotics and human motion analysis, with a primary focus on improving motor recovery outcomes for stroke survivors. Her work bridges computer vision, machine learning, and clinical rehabilitation to address one of the most persistent challenges in neurorehabilitation: the detection and correction of compensatory movements. In her highly cited 2020 pilot study, Dr. Chen pioneered a vision-based automatic detection system that uses kinematic data and machine learning to identify compensatory postures during upper-extremity robot-assisted rehabilitation. This work, which has garnered 7 citations, demonstrated that non-invasive camera systems can reliably detect maladaptive movement patterns—such as trunk substitution—that often undermine the effectiveness of therapy. By enabling real-time, objective feedback during reaching tasks, her research offers a scalable, low-cost solution to enhance rehabilitation quality. Dr. Chen’s contributions are particularly impactful for clinical settings where traditional motion capture is impractical, and her findings have opened new pathways for integrating artificial intelligence into personalized stroke therapy. Her ongoing work continues to shape how technology can support more effective, patient-centered rehabilitation.
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