ArticleJournal of biomechanics2015
A low cost real-time motion tracking approach using webcam technology.
Article in Journal of biomechanics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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.
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Who cites it
29 citing papers in PubMed.
- Trial
- Functional Resistance Training Differentially Alters Gait Kinetics After Anterior Cruciate Ligament Reconstruction: A Pilot Study.Sports health · 2023Trial
- Interlimb transfer of motor skill learning during walking: No evidence for asymmetric transfer.Gait & posture · 2017Trial
- Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology.Gait & posture · 2017Trial
- Soft vs. Traditional AFOs: A Comparative Study on Gait Kinematics, Kinetics, and Muscle Activity.Restorative neurology and neuroscience · 2026Article
- Determining the Validity of 2D Motion Capture for Estimating Lower Extremity Joint Quasi-Stiffness During Gait in Chronic Stroke Survivors.Restorative neurology and neuroscience · 2026Article
- Prediction of dynamic strength index (DSI) using one low-cost 2D video camera: a machine learning approach.Scientific reports · 2025Article
- Comparing the Accuracy of Markerless Motion Analysis and Optoelectronic System for Measuring Gait Kinematics of Lower Limb.Bioengineering (Basel, Switzerland) · 2025Article
- Design and Validation of a Pancake Style Planetary Gearbox for an Eddy Current-Based Wearable Gait Training Robot.IEEE transactions on bio-medical engineering · 2025Article
- Rest the brain to learn new gait patterns after stroke.Journal of neuroengineering and rehabilitation · 2024Article
- Functional resistance training during walking: do biomechanical and neural effects differ based on targeted joints?IEEE transactions on medical robotics and bionics · 2024Article
- Rest the Brain to Learn New Gait Patterns after Stroke.medRxiv : the preprint server for health sciences · 2024Article
- Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location.Bioengineering (Basel, Switzerland) · 2024Article
- Review of Real-Time Biomechanical Feedback Systems in Sport and Rehabilitation.Sensors (Basel, Switzerland) · 2022Review
- Functional Resistance Training to Improve Knee Strength and Function After Acute Anterior Cruciate Ligament Reconstruction: A Case Study.Sports health · 2021Article
- Article
- A tale of too many tasks: task fragmentation in motor learning and a call for model task paradigms.Experimental brain research · 2021Review
- A low-cost 2-D video system can accurately and reliably assess adaptive gait kinematics in healthy and low vision subjects.Scientific reports · 2019Article
- Learning new gait patterns is enhanced by specificity of training rather than progression of task difficulty.Journal of biomechanics · 2019Article
- Learning and interlimb transfer of new gait patterns are facilitated by distributed practice across days.Gait & posture · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Physical therapy is an important component of gait recovery for individuals with locomotor dysfunction. There is a growing body of evidence that suggests that incorporating a motor learning task through visual feedback of movement trajectory is a useful approach to facilitate therapeutic outcomes. Visual feedback is typically provided by recording the subject's limb movement patterns using a three-dimensional motion capture system and displaying it in real-time using customized software. However, this approach can seldom be used in the clinic because of the technical expertise required to operate this device and the cost involved in procuring a three-dimensional motion capture system. In this paper, we describe a low cost two-dimensional real-time motion tracking approach using a simple webcam and an image processing algorithm in LabVIEW Vision Assistant. We also evaluated the accuracy of this approach using a high precision robotic device (Lokomat) across various walking speeds. Further, the reliability and feasibility of real-time motion-tracking were evaluated in healthy human participants. The results indicated that the measurements from the webcam tracking approach were reliable and accurate. Experiments on human subjects also showed that participants could utilize the real-time kinematic feedback generated from this device to successfully perform a motor learning task while walking on a treadmill. These findings suggest that the webcam motion tracking approach is a feasible low cost solution to perform real-time movement analysis and training.
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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.