Over the past half-century, musculoskeletal simulations have deepened our knowledge of human and animal movement. This article outlines ten steps to becoming a musculoskeletal …
Great progress has been made in estimating 3D human pose and shape from images and video by training neural networks to directly regress the parameters of parametric human …
B Van Hooren, N Pecasse, K Meijer… - … Journal of Medicine & …, 2023 - Wiley Online Library
Background Markerless motion capture based on low‐cost 2‐D video analysis in combination with computer vision techniques has the potential to provide accurate analysis …
Physical function decline due to aging or disease can be assessed with quantitative motion analysis, but this currently requires expensive laboratory equipment. We introduce a self …
B Horsak, A Eichmann, K Lauer, K Prock… - Journal of …, 2023 - Elsevier
Markerless motion capturing has the potential to provide a low-cost and accessible alternative to traditional marker-based systems for real-world biomechanical assessment …
Access to healthcare, including physiotherapy, is increasingly occurring through virtual formats. At-home adherence to physical therapy programs is often poor and few tools exist to …
Creating large-scale public datasets of human motion biomechanics could unlock data- driven breakthroughs in our understanding of human motion, neuromuscular diseases, and …
Biomechanics plays a significant yet complex role in osteoarthritis (OA) onset and progression. Identifying alterations in biomechanical factors and their complex interactions is …
The use of small, interconnected and intelligent tools within the broad framework of pervasive computing for analysis and assessments in sport and physical activity is not a …