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In-Air Hand-Drawn Number and Shape Dataset

dataset
posted on 19.10.2020, 08:59 by Basheer Alwaely, Charith Abhayaratne
This dataset contains in-air hand-written numbers and shapes data used in the paper:
B. Alwaely and C. Abhayaratne, "Graph Spectral Domain Feature Learning With Application to in-Air Hand-Drawn Number and Shape Recognition," in IEEE Access, vol. 7, pp. 159661-159673, 2019, doi: 10.1109/ACCESS.2019.2950643.

The dataset contains the following:
-Readme.txt
- InAirNumberShapeDataset.zip containing
-Number Folder (With 2 sub folders for Matlab and Excel)
-Shapes Folder (With 2 sub folders for Matlab and Excel)

The datasets include the in-air drawn number and shape hand movement path captured by a Kinect sensor. The number sub dataset includes 500 instances per each number 0 to 9, resulting in a total of 5000 number data instances. Similarly, the shape sub dataset also includes 500 instances per each shape for 10 different arbitrary 2D shapes, resulting in a total of 5000 shape instances. The dataset provides X, Y, Z coordinates of the hand movement path data in Matlab (M-file) and Excel formats and their corresponding labels.

This dataset creation has received The University of Sheffield ethics approval under application #023005 granted on 19/10/2018.

History

Ethics

The project has ethical approval and have included the number in the description field

Policy

The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

Licence

Exports