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arXiv Computer Vision By Tresor Y. Koffi, Amel Hidouri, Corentin Legrand, Aur\'elie Bertaux

DiaSeg: Diagonal Segment Extraction from DTW Paths for Interpretable Gait Analysis

Read the original on arXiv Computer Vision →

DiaSeg extracts diagonal segments from Dynamic Time Warping (DTW) paths, characterizing each with five geometric features to preserve local alignment information. In a study of 91 subjects across six clinical conditions, these segments revealed consistent unsupervised patterns aligned with biomechanical phases and achieved near-perfect separation of healthy and pathological gait. While cycle‑based methods reached higher overall accuracy, DiaSeg offers phase‑specific interpretability, pinpointing where coordination breaks down within the gait cycle.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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