Gait Abnormality in Video Dataset (GAVD) is the largest collection of online links to gait videos with clinical annotations. The dataset is designed for Clinical Gait Analysis using computer vision however has many applicaitons such as gait recognition and abnormality action detection. For further details regarding dataset please see LINK TO arXiv PAPER
Data is provided as pkl files part 1 to 5 or csv files part 1 to 5.
| Data Column | Description |
|---|---|
| seq | sequnce ID unique to a section of gait in single direction |
| frame_num | corresponding frame number of video |
| cam_view | Annotated person-centric view |
| gait_event | clinically annotated gait event (NOTE: this is limited in this current dataset) |
| dataset | general classificaiton of normal and abnomral gait |
| gait_pat | clinically annotated classification of gait from observation by clinican |
| bbox | bounding box values tracking indiviuals gait |
| vid_info | video related metadata |
| id | video youtube id |
| url | url to access video |
Please use the following citation if you find our work uesful:
@article{ranjan2024:GAVD,
title={Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset},
author={Ranjan, Rahm and Ahmedt-Aristizabal, David and Armin, Mohammad Ali and Kim, Juno},
journal={arXiv preprint arXiv:2407.04190},
year={2024}
}