Two-dimensional video-based analysis of human gait using pose estimation
Author summary There is a growing interest among clinicians and researchers to use novel pose estimation algorithms that automatically track human movement to analyze human gait. Gait analysis is routinely conducted in designated laboratories with specialized equipment. On the other hand, pose estimation relies on digital videos that can be recorded from household devices such as a smartphone. As a result, these new techniques make it possible to move beyond the laboratory and perform gait analysis in other settings such as the home or clinic. Before such techniques are adopted, we identify a critical need for comparing outcome parameters against three-dimensional motion capture and to evaluate how camera viewpoint affect outcome parameters. We used simultaneous motion capture and left- and right-side video recordings of healthy human gait and calculated spatiotemporal gait parameters and lower-limb joint angles. We find that our provided workflow estimates spatiotemporal gait parameters together with hip and knee angles with the accuracy and precision needed to detect changes in the gait pattern. We demonstrate that the position of the participant relative to the camera affect spatial measures such as step length and discuss the limitations posed by the current approach.
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Detailed feature extraction process using the OpenPose application. The
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Types of anomalies in two-dimensional video-based gait analysis in uncontrolled environments
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Types of anomalies in two-dimensional video-based gait analysis in uncontrolled environments
Human Gait Analysis Using OpenPose
PDF) Two-dimensional video-based analysis of human gait using pose estimation
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Applications and limitations of current markerless motion capture methods for clinical gait biomechanics [PeerJ]
Descriptive analysis of videos. (A) Distribution of duration of video
Frontiers Development of a Robust, Simple, and Affordable Human Gait Analysis System Using Bottom-Up Pose Estimation With a Smartphone Camera
Human Gait Analysis Using OpenPose
Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions