Ten steps to becoming a musculoskeletal simulation expert: a half-century of progress and outlook for the future

SD Uhlrich, TK Uchida, MR Lee, SL Delp - Journal of biomechanics, 2023 - Elsevier
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 …

Challenges and advances in the use of wearable sensors for lower extremity biomechanics

JF Hafer, R Vitali, R Gurchiek, C Curtze, P Shull… - Journal of …, 2023 - Elsevier
The use of wearable sensors for the collection of lower extremity biomechanical data is
increasing in popularity, in part due to the ease of collecting data and the ability to capture …

From skin to skeleton: Towards biomechanically accurate 3d digital humans

M Keller, K Werling, S Shin, S Delp, S Pujades… - ACM Transactions on …, 2023 - dl.acm.org
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 …

Simulating the effect of ankle plantarflexion and inversion-eversion exoskeleton torques on center of mass kinematics during walking

NA Bianco, SH Collins, K Liu… - PLoS Computational …, 2023 - journals.plos.org
Walking balance is central to independent mobility, and falls due to loss of balance are a
leading cause of death for people 65 years of age and older. Bipedal gait is typically …

Markerless Motion Capture and Biomechanical Analysis Pipeline

RJ Cotton, A DeLillo, A Cimorelli, K Shah… - arXiv preprint arXiv …, 2023 - arxiv.org
Markerless motion capture using computer vision and human pose estimation (HPE) has the
potential to expand access to precise movement analysis. This could greatly benefit …

Self-Supervised Learning of Gait-Based Biomarkers

RJ Cotton, JD Peiffer, K Shah, A DeLillo… - … Workshop on PRedictive …, 2023 - Springer
Markerless motion capture (MMC) is revolutionizing gait analysis in clinical settings by
making it more accessible, raising the question of how to extract the most clinically …

Variable-stiffness prosthesis improves biomechanics of walking across speeds compared to a passive device

E Rogers-Bradley, SH Yeon, C Landis, DRC Lee… - Scientific Reports, 2024 - nature.com
Ankle push-off power plays an important role in healthy walking, contributing to center-of-
mass acceleration, swing leg dynamics, and accounting for 45% of total leg power. The …

Optimizing Trajectories and Inverse Kinematics for Biomechanical Analysis of Markerless Motion Capture Data

RJ Cotton, A DeLillo, A Cimorelli… - 2023 International …, 2023 - ieeexplore.ieee.org
Markerless motion capture using computer vision and human pose estimation (HPE) has the
potential to expand access to precise movement analysis. This could greatly benefit …

TailorMe: Self‐Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model

S Wenninger, F Kemper… - Computer Graphics …, 2024 - Wiley Online Library
Human shape spaces have been extensively studied, as they are a core element of human
shape and pose inference tasks. Classic methods for creating a human shape model …

Design and Evaluation of a Quasi-Passive Variable Stiffness Prosthesis for Walking Speed Adaptation in People With Transtibial Amputation

E Rogers-Bradley, SH Yeon, C Landis… - … ASME Transactions on …, 2023 - ieeexplore.ieee.org
The biological ankle joint adjusts stiffness to adapt to changing walking speed, terrain, and
load carriage. The most commonly used passive transtibial prostheses are unable to adjust …