hzhongresearch/washindepth_data

WashInDepth data

WashInDepth is a contact free hand wash monitor using a depth sensor (Kinect V1). The system sits above a sink and monitors a user while they wash their hands. It determines if they have followed correct hand hygiene procedures.

The code is currently closed source as it has attracted commercial interest. It was developed as an extension of the QuickFind segmentation and object detection algorithm. Modern Deep Learning should be able to achieve much better results when trained with the supplied data, compared to the original WashInDepth.

This dataset is ideal for researchers working on:

• Hand hygiene compliance and monitoring.
• Depth based action recognition.
• Fine grained hand segmentation and tracking.

Description of data

The raw data for the WashInDepth project. Each directory is named after the participant and the session. Within each directory the depth maps are named in chronological order.

Links

• Paper
• Data

Licence

Licenced under CC-BY-4.0. See LICENCE.txt.

If you use this work please cite our paper.

@inproceedings{zhong2016washindepth,
  title={WashInDepth: Lightweight hand wash monitor using depth sensor},
  author={Zhong, Henry and Kanhere, Salil S and Chou, Chun Tung},
  booktitle={Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
  pages={28--37},
  year={2016}
}