Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks
Validity of an inertial measurement unit to assess pelvic orientation angles during gait, sit–stand transfers and step-up transfers: Comparison with an optoelectronic motion capture system *
Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies
Biomechanical Measures of Neuromuscular Control and Valgus Loading of the Knee Predict Anterior Cruciate Ligament Injury Risk in Female Athletes: A Prospective Study
Medial Meniscus Posterior Root Repair Is Associated With Better Function But Persistent Knee Varus Thrust and Reduced Knee Internal Rotation During Gait
Markerless 3D pose estimation system for highly reflective aquatic environments using multi-view polarization imaging and dual-physics constrained network (DP-CRN)
Position paper on how technology for human motion analysis and relevant clinical applications have evolved over the past decades: Striking a balance between accuracy and convenience
Do deep learning models learn beyond average gait? A comparison of architectures, kinematic representations, and marker sparsity for vertical ground reaction force prediction
Force-plate-free estimation of ground reaction forces and lower-limb joint moments during gait using a single RGB-D camera and physics-based optimization
Knee osteoarthritis prediction from gait kinematics: Exploring the potential of deep neural networks and transfer learning methods for time series classification
Quantifying performance and joint kinematics in functional tasks crucial for anterior cruciate ligament rehabilitation using smartphone video and pose detection
Asociación entre el volumen de alcance funcional medido con Kinect y cuestionarios de autorreporte de funcionalidad de la extremidad superior en personas con disfunción musculoesquelética del hombro
Evaluation der OpenCap-Software für die digitale physiotherapeutische Assessment und Behandlung: Eine Pilotstudie zur Anwendbarkeit und Zuverlässigkeit
Validity and reliability of trunk and lower-limb kinematics during squatting, hopping, jumping and side-stepping using OpenCap markerless motion capture application
Are we there yet? A systematic review and meta-analysis of the validity and reliability of automated markerless motion capture systems during jumping tasks
A Simple Back Shape Model for Back Curvature Evaluation at the Sagittal Plane Using a Single 2D Image
showing the first 200 of 449
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.