ArticleScientific reports2024
A comparison of lower body gait kinematics and kinetics between Theia3D markerless and marker-based models in healthy subjects and clinical patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
- Validation of a Deep Learning-Based Markerless Video System for Gait Speed Assessment During the 10-Meter Walk Test in Outdoor Clinical Settings.Journal of functional morphology and kinesiology · 2026Article
- Agreement between markerless and marker-based motion capture for knee kinematics and kinetics during functional activities in knee osteoarthritis.Osteoarthritis and cartilage open · 2026Article
- Dual-Model Artificial Intelligence Framework Integrating AI-Based Markerless Motion Capture for Dynamic Gait Prediction and Health-Status Classification.Diagnostics (Basel, Switzerland) · 2026Article
- Comparison of Joint Kinematics and Spatiotemporal Gait Parameters Between Markerless and Marker-Based Motion Capture in a Large Knee Osteoarthritis Cohort.Annals of biomedical engineering · 2026Article
- EMBC Special Issue: Calibrated Uncertainty for Trustworthy Clinical Gait Analysis Using Probabilistic Multiview Markerless Motion Capture.IEEE transactions on bio-medical engineering · 2026Article
- Portable biomechanics laboratory enables clinically accessible movement analysis from a handheld smartphone.NPJ digital medicine · 2026Article
- Impact of Multi-View Fusion and Biomechanical Modeling on Markerless Motion Tracking.IEEE transactions on bio-medical engineering · 2026Article
- The Clinician's Guide to Computer Vision in the Motion Capture Galaxy.Restorative neurology and neuroscience · 2026Article
- An accessible 2D video-based gait analysis framework with model-based illustration of joint torque and power trends.Scientific reports · 2026Article
- Analysis of the kinematic features of pelvic and lower limb motion in patients with hip osteoarthritis and acetabular dysplasia.Scientific reports · 2026Article
- Differences Between Tibial or Malleolar Fracture Types and Union or Nonunion in Spatiotemporal and Kinematic Gait Parameters Throughout Healing: An Observational Study.Annals of biomedical engineering · 2026Observational
- Age-Related Changes in Virtual Pivot Point Position and Variability During Pediatric Gait Development.Children (Basel, Switzerland) · 2026Article
- Gait assessment using a 2D video-based pose estimation app in comparison to a markerless motion capture system in subjects with osteoarthritis of the knee - a pilot study.Frontiers in bioengineering and biotechnology · 2026Article
- Reliability of DIERS pedogait system for evaluating spatiotemporal gait parameters in knee osteoarthritis and its association with Achilles tendon stiffness asymmetry.Frontiers in physiology · 2026Article
- Evaluating markerless biomechanical analysis in a real-world pole vault competition setting.PloS one · 2026Article
- Age- and step-length-dependent alterations in muscle synergies and joint coordination during unexpected gait termination.BMC geriatrics · 2025Article
- Comparison of Marker- and Markerless-Derived Lower Body Three-Dimensional Gait Kinematics in Typically Developing Children.Sensors (Basel, Switzerland) · 2025Article
- Scoping Review of Machine Learning Techniques in Marker-Based Clinical Gait Analysis.Bioengineering (Basel, Switzerland) · 2025Review
- Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems.Scientific reports · 2025Article
- Gait assessment using a 2D video-based motion analysis app in healthy subjects and subjects with lower limb amputation - A pilot study.PloS one · 2025Article
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Abstract
Three-dimensional (3D) marker-based motion capture is the current gold standard to assess and monitor pathological gait in a clinical setting. However, 3D markerless motion capture based on pose estimation is advancing into the field of gait analysis. This study aims at evaluating the lower-body 3D gait kinematics and kinetics from synchronously recorded Theia3D markerless and CAST marker-based systems. Twelve healthy individuals and 34 clinical patients aged 8-61 years walked at self-selected speed over a 13 m long walkway. Similarity between models was statistically analysed using inter-trial variability, root mean square error, Pearson's correlation coefficient and Statistical Parametric Mapping. Inter-trial variability was on average higher for clinical patients in both models. Overall, the markerless system demonstrated similar gait patterns although hip and knee rotations were non-comparable. Pelvic anterior tilt was significantly underestimated. Significant differences especially in peak values at specific phases of the gait cycle were observed across all planes for all joints (more so for clinical patients than healthy subjects) as well as in the sagittal powers of the hip, knee and ankle. Theia3D markerless system offers great potential in gait analysis. This study brings awareness to potential clinical users and researchers where they can have confidence, as well as areas where caution should be exercised.
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