Kjartan Halvorsen

Papers

Total Citations

H-Index

About

Kjartan Halvorsen is a leading researcher in biomechanics and inertial motion capture, with a focus on sensor-to-segment calibration for human and robotic movement analysis. His work centers on developing robust methods for estimating joint axes—particularly hinge joints like the human knee and finger—using inertial measurement units (IMUs). Halvorsen’s major contributions include pioneering "plug-and-play" calibration techniques that eliminate the need for complex setup, enabling accurate joint axis identification even during fast or slow movements. His 2020 paper on robust plug-and-play joint axis estimation has garnered 31 citations, reflecting its impact on both clinical gait analysis and robotics. In 2019, he extended this work with weighted gyroscope and acceleration constraints, achieving reliable calibration across diverse motion speeds. Halvorsen’s innovations have practical implications for rehabilitation, prosthetics, and human-robot interaction, making inertial tracking more accessible and precise. His research is widely cited for bridging theoretical rigor with real-world applicability, and he is recognized for advancing non-invasive motion analysis technologies that empower both researchers and clinicians.