Xiao-Cong Zhong
Papers
1
Total Citations
2
H-Index
1
About
Dr. Xiao-Cong Zhong is a pioneering researcher in rehabilitation robotics and human–machine interaction, with a primary focus on surface electromyography (sEMG)-driven control systems for assistive devices. His most cited work, "Plug-and-Play sEMG-Driven Hand Gesture Recognition With Subdomain Adaptation for Exoskeleton Rehabilitation Gloves" (2024), addresses a critical challenge in the field: achieving robust, cross-user adaptability in gesture recognition despite individual physiological differences. By introducing a subdomain adaptation framework, Dr. Zhong’s approach enables exoskeleton gloves to interpret sEMG signals from new users without extensive recalibration—a breakthrough for practical, plug-and-play rehabilitation systems. This work has already garnered attention for its potential to democratize access to personalized therapy. Dr. Zhong’s research bridges machine learning, biomechanics, and wearable robotics, aiming to restore hand function for stroke survivors and individuals with motor impairments. His contributions are shaping the next generation of intuitive, adaptive rehabilitation technologies, with implications for both clinical and home-based care.
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Top Papers
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