[HTML][HTML] Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

S Song, Ł Kidziński, XB Peng, C Ong, J Hicks… - … of neuroengineering and …, 2021 - Springer
Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …

Feasibility of using MRIs to create subject-specific parallel-mechanism joint models

SB da Luz, L Modenese, N Sancisi, PM Mills… - Journal of …, 2017 - Elsevier
Musculoskeletal models typically use generic 2D models for the tibiofemoral (TFJ) and
patellofemoral (PFJ) joints, with a hinge talocrural joint (TCJ), which are scaled to each …

[HTML][HTML] The lower limbs of sprinters have larger relative mass but not larger normalized moment of inertia than controls

N Sado, H Ichinose, Y Kawakami - Medicine and science in sports …, 2023 - ncbi.nlm.nih.gov
Purpose Sprinters exhibit inhomogeneous muscularity corresponding to musculoskeletal
demand for sprinting execution. An inhomogeneous morphology would affect the mass …

Multi-body optimization with subject-specific knee models: performance at high knee flexion angles

C Charbonnier, S Chagué, FC Kolo… - Computer methods in …, 2017 - Taylor & Francis
When estimating knee kinematics from skin markers and stereophotogrammetry, multi-body
optimization (MBO) has provided promising results for reducing soft tissue artefacts (STA) …

[HTML][HTML] Uncertainty and sensitivity in human motion dynamics simulations

J Wojtusch - 2018 - tuprints.ulb.tu-darmstadt.de
Biomechanical dynamics simulations facilitate the investigation of fundamental principles
and concepts in human motions. The simulation results help to explain experimentally …

Modelfactory: A matlab/octave based toolbox to create human body models

M Sreenivasa, M Harant - arXiv preprint arXiv:1804.03407, 2018 - arxiv.org
Background: Model-based analysis of movements can help better understand human motor
control. Here, the models represent the human body as an articulated multi-body system that …

Optimizing wearable assistive devices with neuromuscular models and optimal control

M Sreenivasa, M Millard, P Manns… - Converging Clinical and …, 2017 - Springer
The coupling of human movement dynamics with the function and design of wearable
assistive devices is vital to better understand the interaction between the two. Advanced …

[PDF][PDF] Entwicklung von Verfahren für den praktischen Einsatz von Inertialsensoren in der instrumentellen Ganganalyse

A Jürgens - 2017 - core.ac.uk
Entwicklung von Verfahren für den praktischen Einsatz von Inertialsensoren in der
instrumentellen Ganganalyse Von der Fakultät Page 1 Entwicklung von Verfahren für den …

Lower limb in sprinters with larger relative mass but not larger normalized moment of inertia: novel insights into human plasticity

N Sado, H Ichinose, Y Kawakami - bioRxiv, 2022 - biorxiv.org
Inhomogeneous muscle hypertrophy in response to daily motor executions is a
morphological adaptation in humans. Inhomogeneous morphological adaptation would …

[HTML][HTML] Center of pressure based segment inertial parameters validation

C Hansen, N Rezzoug, P Gorce, B Isableu, G Venture - Plos one, 2017 - journals.plos.org
By proposing efficient methods for estimating Body Segment Inertial Parameters'(BSIP)
estimation and validating them with a force plate, it is possible to improve the inverse …