ArticleSensors (Basel, Switzerland)2022
Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
37 citing papers in PubMed.
- Postoperative Gait Characteristics After Arthroscopic Ankle Arthrodesis Using a Deep Learning-Based Markerless Motion Capture System: A Pilot Observational Study.Journal of clinical medicine · 2026Article
- Markerless Motion Capture for Human Movement Estimation Using Artificial Intelligence: A Systematic Review.Pediatric reports · 2026Review
- Optimizing camera placement in multi-view markerless motion capture: a validation study against gold-standard kinematics for static and dynamic tasks.BMC research notes · 2026Article
- Estimation of the Knee Joint with Single-Camera Smartphone.Sensors (Basel, Switzerland) · 2026Article
- Concurrent validation of OpenCap for identifying ACL re-injury risk factors during a drop jump test in a healthy cohort.Scientific reports · 2026Article
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Development of an RGB-depth camera-based gait analysis system: a single-case study of a patient with stroke.Journal of Yeungnam medical science · 2026Article
- Validation of AI-based markerless gait event detection during perturbed walking using smartphone videos from two camera perspectives.Frontiers in sports and active living · 2026Article
- Validity of a Convolutional Neural Network-Based, Markerless Pose Estimation System Compared to a Marker-Based 3D Motion Analysis System for Gait Assessment-A Pilot Study.Sensors (Basel, Switzerland) · 2025Article
- Center of Mass (CoM) Motions and Foot Placement During Treadmill Walking Using One Time-of-Flight Camera.Sensors (Basel, Switzerland) · 2025Article
- Accurate Tracking of Locomotory Kinematics in Mice Moving Freely in Three-Dimensional Environments.eNeuro · 2025Article
- Instant gait classification for hip osteoarthritis patients: a non-wearable sensor approach utilizing Pearson correlation, SMAPE, and GMM.Biomedical engineering letters · 2025Article
- DeepLabCut custom-trained model and the refinement function for gait analysis.Scientific reports · 2025Article
- Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor.Sensors (Basel, Switzerland) · 2025Article
- Steps to Facilitate the Use of Clinical Gait Analysis in Stroke Patients: The Validation of a Single 2D RGB Smartphone Video-Based System for Gait Analysis.Sensors (Basel, Switzerland) · 2024Article
- Review
- A Real-Time Approach for Assessing Rodent Engagement in a Nose-Poking Go/No-Go Behavioral Task Using ArUco Markers.Bio-protocol · 2024Article
- AI-smartphone markerless motion capturing of hip, knee, and ankle joint kinematics during countermovement jumps.European journal of sport science · 2024Article
- Sensor-Based Gait and Balance Assessment in Healthy Adults: Analysis of Short-Term Training and Sensor Placement Effects.Sensors (Basel, Switzerland) · 2024Article
- Clinical Feasibility of a Markerless Gait Analysis System.Clinics in orthopedic surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the effects and the progression of neurological diseases resulting in neuromotor disorders. In these fields, the gold standard techniques adopted to perform gait analysis rely on motion capture systems and markers. However, these systems present drawbacks: they are expensive, time consuming and they can affect the naturalness of the motion. For these reasons, in the last few years, considerable effort has been spent to study and implement markerless systems based on videography for gait analysis. Unfortunately, only few studies quantitatively compare the differences between markerless and marker-based systems in 3D settings. This work presented a new RGB video-based markerless system leveraging computer vision and deep learning to perform 3D gait analysis. These results were compared with those obtained by a marker-based motion capture system. To this end, we acquired simultaneously with the two systems a multimodal dataset of 16 people repeatedly walking in an indoor environment. With the two methods we obtained similar spatio-temporal parameters. The joint angles were comparable, except for a slight underestimation of the maximum flexion for ankle and knee angles. Taking together these results highlighted the possibility to adopt markerless technique for gait analysis.
Indexed as
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.