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Verification of Markerless Gait Analysis: Multi-Camera and Single-Camera Approaches in Comparison to Marker-Based
Yong Seok Park1, Yeon Woo Yu1, Hari Cha2
1Department of Sports Science, Kookmin University, Seoul 02707, Republic of Korea.
Medicina (Kaunas, Lithuania)
|February 27, 2026
Summary
Markerless gait analysis using single-camera (S-ML) and multi-camera (M-ML) systems shows good reliability for spatiotemporal parameters. While S-ML offers comparable joint kinematics to M-ML, some parameters require further refinement.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Gait Analysis
Background:
- Marker-based gait analysis is the gold standard but is labor-intensive.
- Markerless gait analysis offers a potentially more accessible alternative.
- Validating markerless systems against marker-based systems is crucial for clinical adoption.
Purpose of the Study:
- To validate single-camera markerless (S-ML) and multi-camera markerless (M-ML) gait analysis systems.
- To compare the reliability and accuracy of S-ML and M-ML against a marker-based (MB) system.
- To assess the performance of markerless systems for spatiotemporal and kinematic gait parameters.
Main Methods:
- Sixteen healthy adults performed walking trials.
- Simultaneous gait analysis using S-ML, M-ML, and MB systems.
- Intraclass correlation coefficients and root mean squared error (RMSE) were used for analysis.
Main Results:
- Both S-ML and M-ML showed good-to-excellent reliability for spatiotemporal parameters like step length and gait speed.
- S-ML and M-ML demonstrated comparable joint kinematics, especially in the sagittal plane (hip and knee).
- S-ML showed lower RMSE for knee abduction/adduction but reduced agreement for ankle joint angles compared to MB.
Conclusions:
- Markerless gait analysis, including S-ML and M-ML, is a viable alternative to conventional marker-based methods.
- S-ML offers promising results, comparable to M-ML in several aspects.
- Further improvements are needed for specific gait parameters, particularly ankle kinematics, to enhance markerless system accuracy.

