Papers
7
Total Citations
174
H-Index
5
About
Thor F. Besier is a leading figure in computational biomechanics, whose work bridges robotics, human movement science, and rehabilitation engineering. His research focuses on understanding how the neuromuscular system controls movement, with key contributions in muscle force estimation, inverse kinematics, and the synthesis of human motion. Besier’s most cited work, “Robotics-based synthesis of human motion” (2009, 103 citations), demonstrates his pioneering use of robotic principles to model and replicate complex human movements, providing a foundation for both prosthetic design and athletic performance analysis. He has also advanced the field through the CEDE project (2024, 20 citations), establishing consensus guidelines for using electromyography to estimate muscle force—a critical tool for clinicians and researchers studying movement disorders. His work on marker registration methods (2021, 20 citations) improves the accuracy of joint angle calculations from motion capture data, directly impacting gait analysis and sports biomechanics. Besier’s investigations into elite golf swings (2012, 17 citations) reveal how muscle forces translate into task-specific accelerations, offering insights into skill acquisition and injury prevention. With additional contributions to shoulder mechanics and neural network-based torque forecasting, Besier’s research is essential reading for anyone interested in the intersection of robotics, human physiology, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Robotics-based synthesis of human motion103 citations · 2009
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- 6Ankle torque forecasting using time-delayed neural networks4 citations · 2020
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