A review of musculoskeletal modelling of human locomotion

AD Sylvester, SG Lautzenheiser… - Interface …, 2021 - royalsocietypublishing.org
Locomotion through the environment is important because movement provides access to
key resources, including food, shelter and mates. Central to many locomotion-focused …

On the estimation of hip joint loads through musculoskeletal modeling

M Tomasi, A Artoni, L Mattei, F Di Puccio - Biomechanics and Modeling in …, 2023 - Springer
Noninvasive estimation of joint loads is still an open challenge in biomechanics. Although
musculoskeletal modeling represents a solid resource, multiple improvements are still …

[HTML][HTML] The development and evaluation of a fully automated markerless motion capture workflow

L Needham, M Evans, L Wade, DP Cosker… - Journal of …, 2022 - Elsevier
This study presented a fully automated deep learning based markerless motion capture
workflow and evaluated its performance against marker-based motion capture during …

Biomat: An open-source biomechanics multi-activity transformer for joint kinematic predictions using wearable sensors

M Sharifi-Renani, MH Mahoor, CW Clary - Sensors, 2023 - mdpi.com
Through wearable sensors and deep learning techniques, biomechanical analysis can
reach beyond the lab for clinical and sporting applications. Transformers, a class of recent …

Conclusion or illusion: Quantifying uncertainty in inverse analyses from marker-based motion capture due to errors in marker registration and model scaling

TK Uchida, A Seth - Frontiers in Bioengineering and Biotechnology, 2022 - frontiersin.org
Estimating kinematics from optical motion capture with skin-mounted markers, referred to as
an inverse kinematic (IK) calculation, is the most common experimental technique in human …

[HTML][HTML] Impact of scaling errors of the thigh and shank segments on musculoskeletal simulation results

W Koller, A Baca, H Kainz - Gait & posture, 2021 - Elsevier
Background Musculoskeletal simulations are widely used in the research community. The
locations of surface markers are mostly used to scale a generic model to the participant's …

[HTML][HTML] Simulation of hip bony range of motion (BROM) corresponds to the observed functional range of motion (FROM) for pure flexion, internal rotation in deep …

A Palit, MA Williams, E Kiraci, V Seemala… - Computers in Biology …, 2024 - Elsevier
Background The study investigated the relationship between computed bony range of
motion (BROM) and actual functional range of motion (FROM) as directly measured in …

[HTML][HTML] Comparison of a single-view image-based system to a multi-camera marker-based system for human static pose estimation

JS Slowik, TW McCutcheon, BG Lerch… - Journal of Biomechanics, 2023 - Elsevier
The purpose of this study was to compare human static pose estimation data measured with
a single-view image-based system and a multi-camera marker-based system. Thirty …

Muscle forces and the demands of human walking

AD Sylvester, SG Lautzenheiser, PA Kramer - Biology Open, 2021 - journals.biologists.com
Reconstructing the locomotor behavior of extinct animals depends on elucidating the
principles that link behavior, function, and morphology, which can only be done using extant …

Synthesising 2D video from 3D motion data for machine learning applications

M Mundt, H Oberlack, M Goldacre, J Powles, J Funken… - Sensors, 2022 - mdpi.com
To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture
datasets for computer vision-based machine learning applications, this study proposed and …