Feasibility Review of Portable Markerless Motion Capture for Knee OA

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medRxiv Published April 29, 2026 Medically reviewed April 29, 2026 Study authors: McCloskey, R. C.; Qualter, J. M.; Gruber, A.; Leapley, S.; Qiu, P.; Tian, Z.; Vincent, H. K.; Costel… DOI ↗ By Dr. Lars van Dijk, PhD · Surgical, Procedural & Diagnostic

Key Takeaway

Consider that portable markerless motion capture is feasible for community-based knee OA research, but clinical utility remains unproven.

This is a review of a feasibility study that assessed the use of a portable markerless motion capture system in individuals with knee osteoarthritis (OA). The study included 85 participants and was conducted at community-based and on-campus sites. The primary outcome was feasibility, evaluated using timing metrics related to research operations (transit, setup, calibration, breakdown), participant workflow (consent, questionnaires, motion capture), and task-specific durations.

No significant differences in timing metrics were observed across sites. The authors did not report effect sizes, absolute numbers, or p-values. The review highlights logistical and operational challenges as limitations. The authors suggest that the findings support the feasibility of high-throughput, community-based markerless motion capture and propose it as a viable pathway to address long-standing limitations in sample size and representativeness.

Given the feasibility nature of the study and the lack of comparative data, the evidence is preliminary. The review does not provide data on clinical outcomes, adverse events, or long-term follow-up. Clinicians should interpret these findings as early-stage evidence supporting the operational feasibility of this technology in community settings, not as proof of clinical utility.

Study Details

Sample sizen = 85

EvidenceLevel 5

PublishedApr 2026

View Original Abstract ↓

Biomechanics studies using traditional optical motion capture have been limited by small, homogeneous sample sizes and a focus on single movements, restricting the ability to capture clinically relevant adaptations across daily tasks. These limitations are particularly consequential in heterogeneous musculoskeletal conditions such as knee osteoarthritis (OA), where variability in demographic and clinical characteristics necessitates large, representative samples to identify patient-specific biomechanical intervention targets. Markerless motion capture enables faster, high-throughput data collection and offers the potential for community-based assessments; however, its feasibility of use in clinical populations across diverse tasks remains unclear. This study evaluated the feasibility of community-based, high-throughput markerless biomechanics data collection in individuals with knee OA. Participants (n = 85) completed a series of activities of daily living using a portable markerless motion capture system deployed across two community-based and two on-campus sites. Feasibility was assessed using timing metrics related to research operations (transit, setup, calibration, breakdown), participant workflow (consent, questionnaires, motion capture), and task-specific durations. No significant differences in timing metrics were observed across sites despite logistical and operational challenges. These findings support the feasibility of using high-throughput, community-based markerless motion capture and suggest a viable pathway for addressing long-standing limitations in sample size and representativeness through scalable data collection workflows in biomechanics studies.