Skip to content
Open access

Concurrent Validation of a Multi-Camera Markerless Motion Capture System Against Inertial Sensors for Upper- and Lower-Limb Joint Kinematics

Aug 2026 · Italian National Conference on Sensors · Vol 26 · 0 citations · 43 references
Medicine

Abstract

Markerless video-based motion capture is a fast-developing, low-burden and versatile alternative to marker-based stereophotogrammetry, yet independent validation evidence for several commercial solutions is still scarce. This study validates the markerless software CapturyStudio (The Captury GmbH, Saarbrücken, Germany) for the reconstruction of upper- and lower-limb joint kinematics, comparing it with a validated Xsens (Movella, Henderson, NV, USA) inertial measurement unit system. Ten healthy subjects (five females and five males) performed two standardized clinical tasks, a Reach-To-Grasp gesture for the upper limb and a Timed-Up and Go test for the lower limb, recorded simultaneously with eight BTS SMART EVO-DX 2 (BTS Bioengineering S.p.A., Garbagnate Milanese, Italy) cameras operating in markerless mode and a 17-sensor Xsens system. Elbow, shoulder, knee and hip flexion–extension angles were reconstructed from three-dimensional anatomical keypoints provided by CapturyStudio and compared with the Xsens angles through root mean square error in absolute and percentage terms, range-of-motion accuracy, intraclass correlation coefficient (ICC), Spearman’s coefficient (ρ), Bland–Altman analysis and non-parametric Wilcoxon Rank-Sum tests. CapturyStudio reproduced the temporal pattern of all four angles faithfully (ICC ≥ 0.87; ρ ≥ 0.89), with median discrepancies of about 12° for the elbow and below 8° for shoulder, knee and hip and with the best agreement for the upper limb; the main weakness was a systematic overestimation of hip range of motion. Since both systems are indirect measurement techniques, these values represent the discrepancy between two methods and an upper bound on the error of the markerless system rather than its absolute accuracy. Their magnitude is comparable to the changes regarded as clinically meaningful in goniometric assessment, so the system is presently suited to the analysis of movement patterns rather than to the measurement of absolute joint angles. The study is to be read as a technical comparison of two measurement systems, delimiting the conditions under which future clinical, rehabilitation and sports applications may be pursued.

Read PDF

Similar papers

Open access Oct 2026

Concurrent Validity and Agreement of Viewpoint-Dependent Markerless Motion Tracking in Upper-Limb Assessment: A Validation Against Optoelectronic Motion Capture

Quantitative upper-limb assessment in rehabilitation traditionally relies on expensive optoelectronic reference tracking. While single-camera markerless systems offer an accessible alternative, their viewpoint-dependent accuracy and depth ambiguity remain critical concerns. This study systematically validates an integr...

Suman Shrestha, Y. Honda, Haruki Toda et al. · 0 citations
Open access Sep 2026

Smartphone-Based Estimation of Ground Reaction Forces and Lower-Limb Kinematics During Functional Tasks Using OpenCap: A Feasibility Study

Smartphone-based markerless analysis agreed best with laboratory measurements for sagittal lower-limb kinematics and resultant GRF waveforms but showed larger discrepancies in multiplanar kinematics and limb-specific loading.

Ranieri Santanché, Antonia Centrone, F. Di Puccio et al. · 0 citations
Conference Sep 2026

AR-Based System for Shoulder-Joint Rehabilitation with Markerless Measurement of Ranges of Motion and a Recommendation Module for Correction of Therapeutic Images

The full-scale war in Ukraine has caused a sharp rise in the number of patients with musculoskeletal injuries who need prolonged upper-limb rehabilitation. Traditional physicaltherapy methods have several limitations: the subjective character of range-of-motion (ROM) measurement with a manual goniometer, the lack of ob...

Y. Tsapiv, A. Pukas, Yurii Petrovskyi et al. · 0 citations
Open access 2026

Upper-Limb Pose Estimation From Sparse Body-Worn Visual-Inertial Sensors

A novel, sparse sensor fusion framework that estimates upper-limb kinematics using two shoulder-mounted inertial measurement units (IMUs) and a chest-mounted camera with an integrated IMU, without visual markers is proposed.

Ferdinando Pompanin, E. Martini, A. Calanca et al. · 0 citations
Open access Sep 2026

Design of Low-Cost High Accuracy Motion Capture System

The findings demonstrate that, despite its low cost, the proposed system provides sub-millimeter repeatability and millimeter-level accuracy, making it a feasible alternative to industrial motion capture systems for static and low-speed applications.

Dursun Alp Kizilöz, Murat Peker · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.