search

Rahmyyy / GAVD

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.
MIT License
5 stars 0 forks source link

readme

GAVD

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

GAVD example frames

Dataset Features

GAVD Dataset Features Gait Subclasses GAVD Subclass Classification Camera View Annotations

Data Structure

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
Example GAVD Annotation Data Structure

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}
}