Smartphone-Based Markerless Motion Capture for Spatiotemporal Gait Assessment: Applied Within-Session Reliability and Comparability of OpenCap Versus OptoGait.
Keating C, Vitarelli M, Cherubini D • Sensors (Basel, Switzerland) • 2026
OpenCap provides reliable within-session estimates for key spatiotemporal measures, but systematic bias indicates it should be used consistently as a standalone tool rather than interchangeably with OptoGait without device-specific correction or reference values.
Key Findings
Results
Within-device reliability for gait speed, stride length, and cadence was good-to-excellent for both OptoGait and OpenCap across single trials.
ICC (3,1) values ranged from 0.734 to 0.920 for OptoGait and 0.791 to 0.917 for OpenCap across gait speed, stride length, and cadence.
Reliability was excellent when averaging three trials: ICC (3,3) = 0.892–0.972 for OptoGait and 0.919–0.971 for OpenCap.
Study involved 39 healthy adults completing three 10-m overground walking trials at self-selected speed.
Within-device reliability was assessed using ICC model (3,1) for single measures and ICC (3,3) for averaged measures.
Results
Double support showed lower within-device reliability compared to other spatiotemporal parameters for both devices.
Single-trial ICC (3,1) for double support was 0.527 for OptoGait and 0.647 for OpenCap.
These values were notably lower than the good-to-excellent ICC values (0.734–0.920) observed for gait speed, stride length, and cadence.
Double support was expressed as a percentage of the gait cycle.
Results
OpenCap systematically overestimated gait speed, stride length, and double support compared to OptoGait.
OpenCap showed higher mean gait speed by +0.110 m/s compared to OptoGait.
OpenCap showed higher mean stride length by +0.127 m compared to OptoGait.
OpenCap showed higher mean double support by +3.17% of the gait cycle compared to OptoGait.
Cadence was very similar between devices, with OpenCap showing only −0.59 steps per minute difference.
Results
Between-device correlations were high for gait speed, stride length, and cadence, but only moderate for double support.
Pearson correlation between devices was r = 0.951 for gait speed, r = 0.864 for stride length, and r = 0.983 for cadence.
Correlation for double support was only r = 0.405, indicating moderate agreement.
Absolute-agreement ICCs were highest for cadence (ICC = 0.980) and lowest for double support (ICC = 0.271).
Methods
OpenCap's Advanced Overground Gait Analysis was used to derive spatiotemporal parameters from smartphone-based markerless motion capture.
OpenCap is a camera-based (CM) system described as a smartphone-based markerless 3D motion capture tool.
OptoGait, a photoelectric walkway system, served as the comparator and commonly accepted reference device.
Participants were 39 healthy adults completing three 10-m overground trials at self-selected walking speed.
The study focused on applied repeatability and practical comparability in scalable clinical and field settings.
Conclusions
The study concluded that OpenCap should be used as a standalone tool rather than interchangeably with OptoGait without device-specific correction.
Systematic bias between OpenCap and OptoGait across multiple parameters precludes direct interchangeable use.
Authors recommend using device-specific correction factors or reference values if cross-device comparisons are needed.
OpenCap was found reliable for within-session monitoring of key spatiotemporal gait measures.
The findings support OpenCap's potential for scalable clinical and field-based gait assessment as a standalone instrument.
Keating C, Vitarelli M, Cherubini D. (2026). Smartphone-Based Markerless Motion Capture for Spatiotemporal Gait Assessment: Applied Within-Session Reliability and Comparability of OpenCap Versus OptoGait.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26041234