Papers
1
Total Citations
29
H-Index
1
About
Bin Wen is a leading researcher in the field of rehabilitation and assistive robotics, with a primary focus on lower limb exoskeleton systems. His work centers on developing intelligent algorithms for human gait prediction and recognition, which are critical for enabling seamless, adaptive control of robotic exoskeletons used in mobility assistance and rehabilitation. His most-cited paper, "Research on human gait prediction and recognition algorithm of lower limb-assisted exoskeleton robot" (2021), has garnered 29 citations, reflecting its foundational impact on the design of responsive, user-aware exoskeletons. Wen’s contributions advance the integration of machine learning and biomechanics, addressing key challenges in real-time gait phase detection and motion intent prediction. His research not only enhances the safety and efficiency of assistive devices but also holds promise for improving quality of life for individuals with lower limb impairments. Through his innovative algorithmic approaches, Bin Wen is helping to bridge the gap between human motor control and robotic assistance, paving the way for more intuitive and effective rehabilitation technologies.
Research Focus
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Top Papers
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