Jan-Willem van Wingerden
Papers
1
Total Citations
15
H-Index
1
About
Jan-Willem van Wingerden is a leading figure in the fields of system identification, control theory, and human motor neuroscience, with a particular focus on understanding and modeling the dynamic properties of the human body. His major contributions center on developing advanced computational methods to reveal how humans modulate their joint impedance—the dynamic relationship between joint position and torque—during movement. In his highly cited 2018 work, van Wingerden introduced a novel approach using kernel-based regression and nonparametric decomposition to uncover time-varying joint impedance, a critical factor in how the nervous system minimizes control effort and optimizes performance. This work has garnered 15 citations and is foundational for researchers studying neuromechanics, rehabilitation robotics, and human-machine interaction. By bridging rigorous control theory with experimental neuroscience, van Wingerden’s research provides powerful tools for designing more intuitive prosthetics and exoskeletons. His contributions have significantly advanced our understanding of how the central nervous system continuously regulates mechanical properties to achieve dexterous, efficient movement, making his work essential reading for students and researchers in biomechanics and motor control.
Research Focus
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Top Papers
- 1