A deep learning–based markerless gait analysis model for dogs shows promising accuracy when validated with 2-dimensional marker–based data

This system may offer clinical utility for canine gait assessment, but further validation across breeds and environments is needed before routine use.

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Publication Details

Journal
American Journal of Veterinary Research
Published
2026-01-05
DOI
https://doi.org/10.2460/ajvr.25.09.0337
Primary Topic
Veterinary Orthopedics and Neurology
Type
article
Field-Weighted Citation Impact
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article

A deep learning–based markerless gait analysis model for dogs shows promising accuracy when validated with 2-dimensional marker–based data

Kang Byung-Jae, Mi-Jin Son, SungJun Park, Ji-Hwan Pahk et al.
American Journal of Veterinary Research
Veterinary Orthopedics and Neurology
article

A deep learning–based markerless gait analysis model for dogs shows promising accuracy when validated with 2-dimensional marker–based data

Kang Byung-Jae, Mi-Jin Son, SungJun Park, Ji-Hwan Pahk, Young-Seok Jin, Hyun-Su Kim, Ji-Hyun Seo, Hyun-Jung Kim
article en

Abstract

This system may offer clinical utility for canine gait assessment, but further validation across breeds and environments is needed before routine use.

American Journal of Veterinary Research
Seoul National University (KR), Korea Engineering Consultants Corporation (KR)
Openalex Percentile: Top 97%
Veterinary Orthopedics and Neurology
DOIOpen Access PDFOpenAlex
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