Reliability of Markerless 2D Video Analysis for Calculating Gait Joint Angles in Uncontrolled Environments

Background: Traditional 3D gait analysis constrains natural movement variability due to artificial laboratory settings; thus, this study evaluated the intra- and inter-rater reliability of a low-cost, 2D markerless smartphone video protocol for assessing lower limb sagittal kinematics in an unconstrained environment. Methods: Forty-five healthy young adults walked at a self-selected speed in a non-laboratory corridor, where sagittal hip, knee, and ankle angles were recorded at 60 fps and analyzed using Kinovea® software by two independent raters, with one rater repeating measurements seven days later. Results: Inter-rater reliability ranged from moderate to good across most joint variables (ICC = 0.628–0.789), except for the ankle during loading response, which showed poor consistency (ICC = 0.381). Between-session intra-rater reliability was generally lower, ranging from poor to moderate (ICC = 0.278–0.580), with the lowest values observed at the hip (ICC = 0.278) and ankle (ICC = 0.391) during loading response. Minimal Detectable Change (MDC95) values ranged from 7.07° to 8.95° for inter-rater assessments and from 7.40° to 16.55° for intra-rater assessments, with Bland–Altman analysis displaying wide limits of agreement longitudinally. Conclusions: In conclusion, while prior observer training standardizes criteria for immediate cross-sectional evaluations, the protocol’s high sensitivity to measurement variability and unconstrained motor execution limits its clinical application for longitudinal tracking across different sessions. Between-session intra-rater variability reflects evaluator subjectivity in manual frame selection and landmark digitization over time when no physical markers are present, rather than biological gait fluctuations.

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Journal
Sensors
Published
2026-09-30
DOI
https://doi.org/10.3390/s26196229
Primary Topic
Balance, Gait, and Falls Prevention
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article
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article

Reliability of Markerless 2D Video Analysis for Calculating Gait Joint Angles in Uncontrolled Environments

Francisco Molina‐Rueda, Pilar Fernández-González, Sagrario Pérez‐de la Cruz
Sensors
Balance, Gait, and Falls Prevention
article

Reliability of Markerless 2D Video Analysis for Calculating Gait Joint Angles in Uncontrolled Environments

Francisco Molina‐Rueda, Pilar Fernández-González, Sagrario Pérez‐de la Cruz
article en

Abstract

Background: Traditional 3D gait analysis constrains natural movement variability due to artificial laboratory settings; thus, this study evaluated the intra- and inter-rater reliability of a low-cost, 2D markerless smartphone video protocol for assessing lower limb sagittal kinematics in an unconstrained environment. Methods: Forty-five healthy young adults walked at a self-selected speed in a non-laboratory corridor, where sagittal hip, knee, and ankle angles were recorded at 60 fps and analyzed using Kinovea® software by two independent raters, with one rater repeating measurements seven days later. Results: Inter-rater reliability ranged from moderate to good across most joint variables (ICC = 0.628–0.789), except for the ankle during loading response, which showed poor consistency (ICC = 0.381). Between-session intra-rater reliability was generally lower, ranging from poor to moderate (ICC = 0.278–0.580), with the lowest values observed at the hip (ICC = 0.278) and ankle (ICC = 0.391) during loading response. Minimal Detectable Change (MDC95) values ranged from 7.07° to 8.95° for inter-rater assessments and from 7.40° to 16.55° for intra-rater assessments, with Bland–Altman analysis displaying wide limits of agreement longitudinally. Conclusions: In conclusion, while prior observer training standardizes criteria for immediate cross-sectional evaluations, the protocol’s high sensitivity to measurement variability and unconstrained motor execution limits its clinical application for longitudinal tracking across different sessions. Between-session intra-rater variability reflects evaluator subjectivity in manual frame selection and landmark digitization over time when no physical markers are present, rather than biological gait fluctuations.

SensorsVol. 26(19)
Universidad Rey Juan Carlos (ES), University of Almería (ES)
No poverty
Openalex Percentile: Top 6%
Balance, Gait, and Falls Prevention
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Reliability of Markerless 2D Video Analysis for Calculating Gait Joint Angles in Uncontrolled Environments — Francisco Molina‐Rueda, Pilar Fernández-González, et al. · Sensors (2026) | TGRS Research Map | TGRS