ArticlePLOS digital health2024
Clinical gait analysis using video-based pose estimation: Multiple perspectives, clinical populations, and measuring change.
Article in PLOS digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
54 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.
- Computer Vision Technologies in Movement Disorders: A Systematic Review.Movement disorders clinical practice · 2025Pooled it
- Initial Validation of Markerless Gait Analysis Using SPLYZA Motion: Waveform Agreement Under Practical Measurement Conditions.Sensors (Basel, Switzerland) · 2026Article
- Artificial Intelligence in Veterinary Neurology: Comparative Insights From Human Medicine and Cross-Species Technology Transfer.Veterinary medicine and science · 2026Review
- Co-Designing a Clinician-Centered Video Gait Assessment System for Cerebral Palsy Based on the Framework for Co-Design of Clinical Practice Tools: Iterative Development and Formative Evaluation Study.Journal of medical Internet research · 2026Article
- DeepGaitLab: Accurate and Flexible Markerless Motion Tracking Powered by Synthetic Data.Research square · 2026Article
- Waveform-Level Validation of Continuous Shank-to-Vertical Angle Measurement Using a Wearable Posture Sensor with Independent Video-Based Gait Event Detection.Sensors (Basel, Switzerland) · 2026Article
- Automated gait classification: Comparison of automated algorithms to expert classification.Clinical biomechanics (Bristol, Avon) · 2026Article
- Quantitative assessment of the 30-second sit-to-stand test using computer vision technology for physical therapists.Journal of neuroengineering and rehabilitation · 2026Article
- Stance and Gait Analysis of Apollo Astronauts on the Moon.Muscle & nerve · 2026Article
- Gait and movement analysis for discrimination between people with dementia and healthy control persons based on pose estimation and machine learning.Journal of Alzheimer's disease : JAD · 2026Article
- Relationship between lower limb muscle coordination and knee flexion angle during the swing phase of gait in post-stroke individuals.Journal of neuroengineering and rehabilitation · 2026Article
- Markerless gait analysis for children and adolescents with juvenile idiopathic arthritis using a machine learning pipeline.Pediatric rheumatology online journal · 2026Article
- RehabMate: an explainable framework for action detection and corrective feedback in pediatric stroke rehabilitation.Scientific reports · 2026Article
- Smartphone video-based knee extension moments during chair rise relate to MRI measures of muscle function.medRxiv : the preprint server for health sciences · 2026Article
- Challenges in Clinical Research for Nerve Injuries (Nerve SPACE 2025).Journal of hand surgery global online · 2026Article
- Verification of Markerless Gait Analysis: Multi-Camera and Single-Camera Approaches in Comparison to Marker-Based Gait Analysis.Medicina (Kaunas, Lithuania) · 2026Article
- A Picture is Worth a Thousand Clinical Assessments: Use of Video-Based Pose Estimation to Augment Post-Stroke Upper Limb Assessment of Bilateral Tasks.Restorative neurology and neuroscience · 2026Article
- Quantitative Evaluation and Optimization of Museum Fatigue Using Computer Vision Human Pose Estimation.Sensors (Basel, Switzerland) · 2026Article
- VisionMD-Gait: scalable clinical gait assessment from smartphone videos.Scientific reports · 2026Article
- Validating Single-Camera Pose Estimation Against Multi-Camera Motion Capture for Accessible Biomechanical Assessment.IEEE access : practical innovations, open solutions · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Gait dysfunction is common in many clinical populations and often has a profound and deleterious impact on independence and quality of life. Gait analysis is a foundational component of rehabilitation because it is critical to identify and understand the specific deficits that should be targeted prior to the initiation of treatment. Unfortunately, current state-of-the-art approaches to gait analysis (e.g., marker-based motion capture systems, instrumented gait mats) are largely inaccessible due to prohibitive costs of time, money, and effort required to perform the assessments. Here, we demonstrate the ability to perform quantitative gait analyses in multiple clinical populations using only simple videos recorded using low-cost devices (tablets). We report four primary advances: 1) a novel, versatile workflow that leverages an open-source human pose estimation algorithm (OpenPose) to perform gait analyses using videos recorded from multiple different perspectives (e.g., frontal, sagittal), 2) validation of this workflow in three different populations of participants (adults without gait impairment, persons post-stroke, and persons with Parkinson's disease) via comparison to ground-truth three-dimensional motion capture, 3) demonstration of the ability to capture clinically relevant, condition-specific gait parameters, and 4) tracking of within-participant changes in gait, as is required to measure progress in rehabilitation and recovery. Importantly, our workflow has been made freely available and does not require prior gait analysis expertise. The ability to perform quantitative gait analyses in nearly any setting using only low-cost devices and computer vision offers significant potential for dramatic improvement in the accessibility of clinical gait analysis across different patient populations.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.