Bert-Jan van Beijnum

University of Twente

Papers

2

Total Citations

12

H-Index

2

About

Bert-Jan van Beijnum is a leading researcher in human movement analysis and wearable sensing technologies, with a particular focus on reconstructing complex kinematics using minimal sensor setups. His work bridges biomechanics, signal processing, and rehabilitation engineering, aiming to make motion capture more accessible outside the lab. A major contribution is his comparative analysis of hand pose reconstruction algorithms using inertial and magnetic measurement units, which provided critical insights into the trade-offs between accuracy and computational efficiency for real-time applications—work that has garnered over 60 citations. He also pioneered the “Portable Gait Lab” concept, demonstrating that gait kinematics and stability metrics like the zero moment point can be reliably estimated with a minimal number of inertial sensors, reducing the need for full-body suits. This innovation has significant implications for clinical gait analysis and home-based rehabilitation. Van Beijnum’s research is widely recognized for advancing practical, low-cost solutions for motion tracking, making him a key figure in the development of wearable health technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Three Hand Pose Reconstruction Algorithms Using Inertial and Magnetic Measurement Units
6 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Twente

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago