---
license: cc-by-nc-4.0
task_categories:
- video-classification
language:
- en
tags:
- code
pretty_name: StrokeVision Bench
size_categories:
- 1K<n<10K
---
# StrokeVision-Bench: A Multimodal Video and 2D Pose Benchmark for Tracking Stroke Recovery

StrokeVision-Bench is an action recognition dataset of short segments of stroke patients performing the Box-Block Test.

StrokeVision-Bench contains 1,000 annotated videos (1 s @ 30 FPS)  categorized into four clinically meaningful action classes (Non-task movement, Grasping, Transport with block, Transport without block), with each sample represented in two modalities: raw video segments and 2D skeletal keypoints. We benchmark several state-of-the-art video and skeleton-based action classification methods to establish performance baselines for this domain and facilitate future research in automated stroke rehabilitation assessment.

## Dataset Summary
- Samples: 1,036 short videos (1 s @ 30 FPS)
- Modalities: RGB frames, 2D skeleton keypoints
- Action classes: Non-task movement, Grasping, Transport with block, Transport without block
- Keypoints: COCO 17-keypoint format
- Train-Test Split: 827 train segments, 209 test segments

**Paper**: https://arxiv.org/abs/2509.07994

## Dataset Structure

- videos
  - grasping/
  - non_task/
  - transport_with_block/
  - transport_without_block/
- keypoints/
  - grasping/
  - non_task/
  - transport_with_block/
  - transport_without_block/
- annotations/
  - train.csv
  - val.csv

The `videos` folder contains the raw video segments separated by class. The `keypoints` folder contains  the 2D skeletal keypoints as npy files with shape (30, 17, 2) separated by class.

Each instance in the annotations contains the following features:
- subject_id: The subject of the instance (P01-P04)
- file_name: File name of the instance within the **videos** and **keypoints** directories, formatted as "{subject_id}_segment{segment_id}"
- label: Action class (Non-task movement, Grasping, Transport with block, Transport without block)
- hand: Which hand is being used (left, right)

Example entry: P01,P01_segment0201,transport_with_block,left

You can load the annotations directly with pandas and access files via the dataset's `videos` and `keypoints` folders.

## License
This dataset is released under the CC BY-NC 4.0 license.

## Citation

```bibtex
@inproceedings{strokevisionbench,
  title     = {StrokeVision-Bench: A Multimodal Video and 2D Pose Benchmark for Tracking Stroke Recovery},
  author    = {David Robinson and Animesh Gupta and Rizwan Qureshi and Qiushi Fu and Mubarak Shah},
  booktitle = {Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
  year      = {2025}
}
```