Improved markerless gait kinematics measurement using a biomechanically-aware algorithm with subject-specific geometric modeling
Abstract: Highlights•An algorithm to improve kinematics accuracy in markerless gait analysis is presented.•This algorithm refines AI-driven skeletons in a subject-specific geometric manner.•It preserves skeleton links’ length during walking, using intra-frame modelization.•It benefits from gait phases information in between-frames adjustments.•It smooths lower limb joints’ trajectory in between-frames adjustments.
External IDs:doi:10.1016/j.measurement.2024.114857
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