[HTML][HTML] Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
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 …
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 …
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 …
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) …
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 …
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 …
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
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 …
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 …
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 …
morphological adaptation in humans. Inhomogeneous morphological adaptation would …
[HTML][HTML] Center of pressure based segment inertial parameters validation
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 …
estimation and validating them with a force plate, it is possible to improve the inverse …