Vera Prinsen
Papers
1
Total Citations
5
H-Index
1
About
Vera Prinsen is a researcher in human balance control and biomechanics, with a focus on understanding how people maintain stability during unexpected perturbations. Her work explores the decision-making processes behind reactive stepping—a critical fall-prevention strategy—using classification approaches to predict when individuals transition from non-stepping to stepping balance responses. By analyzing kinematic and kinetic data, she has advanced the understanding of balance thresholds, contributing to fall-risk assessment and rehabilitation technologies. Her most-cited paper, “Predicting reactive stepping in response to perturbations by using a classification approach” (2020, 5 citations), exemplifies her innovative use of machine learning to model human movement. Despite the modest citation count typical of niche biomechanics studies, her research has practical implications for designing interventions for elderly populations and individuals with balance impairments. Prinsen’s work bridges computational modeling and experimental biomechanics, offering insights into the neural and mechanical factors that govern reactive balance—a key area for preventing falls and improving mobility in aging and clinical populations.
Research Focus
Key Achievements
Top Papers
- 1