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About

Wensheng Hou is a leading researcher in rehabilitation robotics and neural engineering, whose work bridges the gap between human motor control and assistive technology. His primary research areas include kinematic and muscle synergy analysis, upper-limb rehabilitation exoskeletons, and brain-computer interfaces for stroke recovery. Hou’s major contributions lie in decoding the complex spatiotemporal patterns of multi-degree-of-freedom movement and translating them into motion planning for rehabilitation devices. Notably, his 2019 paper on kinematic synergy for exoskeleton motion planning has garnered 41 citations, establishing a foundation for human-like robotic assistance. He has also pioneered the use of functional near-infrared spectroscopy (fNIRS) to predict motor recovery in subacute stroke patients, with his 2024 work accumulating 11 citations and offering a novel neural biomarker for personalized therapy. Additionally, Hou’s research on forearm muscle synergy and non-uniform sample assignment in sEMG-based hand gesture recognition has advanced myoelectric control for robotic exoskeletons, achieving up to 8 citations. His innovative work on power-assisted strategies and bone connection robotic hands further demonstrates his commitment to practical, patient-centered solutions. Through these efforts, Hou has significantly impacted the field of neurorehabilitation, providing both theoretical insights and tangible devices that enhance motor recovery and quality of life for individuals with neurological impairments.