%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% "In-Air Hand-Drawn Number and Shape Dataset" Basheer Alwaely and Charith Abhayaratne Department of Electronic and Electrical Engineering The University of Sheffield Sheffield, S1 3JD, United Kingdom Email: b.alwaely@sheffield.ac.uk, c.abhayaratne@sheffield.ac.uk 01/08/2020 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This dataset creation has received The University of Sheffield ethics approval under application (023005) granted on (19/10/2018). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This data set contains in-air hand-written numbers and shapes data used in the paper "Graph Spectral Domain Feature Learning With Application to in-Air Hand-Drawn Number and Shape Recognition", IEEE Access. in Oct 2019. This data set contains the following: -Readme.txt -Number Folder (With 2 sub folders for Matlab and Excel) -Shapes Folder (With 2 sub folders for Matlab and Excel) The data sets 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 data set provides X, Y, Z coordinates of the hand movement path data in Matlab (M-file) and Excel formats and their corresponding labels. The dataset provides the raw sampled hand path with original sampling rates and without any normalizing nor smoothing, resulting in various numbers of data points within a given hand path. Matlab users can use the code below to load and display the samples load('Data.mat') figure;k=1; for i=1:50 subplot(5,10,k) plot3(nonzeros(Data.x(i,:)),nonzeros(Data.y(i,:)),nonzeros(Data.z(i,:)));axis equal k=k+1; end For Excel users, there are 3 files showing X,Y,Z cordinates,respectively for a smaple recorded in each row. The corresponding label is available in the same row of the file named "labels" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% If you use this data set, please cite our previous publication in your paper as follows: Alwaely B, Abhayaratne C. Graph Spectral Domain Feature Learning With Application to in-Air Hand-Drawn Number and Shape Recognition. IEEE Access. 2019 Oct 31;7:159661-73. @article{alwaely2019graph, title={Graph Spectral Domain Feature Learning With Application to in-Air Hand-Drawn Number and Shape Recognition}, author={Alwaely, Basheer and Abhayaratne, Charith}, journal={IEEE Access}, volume={7}, pages={159661--159673}, year={2019}, publisher={IEEE} } Copyright license: CC-BY-4.0 List of files: Readme.txt \Numbers\Excel\label.xlsx %labels of the number samples \Numbers\Excel\X.xlsx %coordinates of the number samples \Numbers\Excel\Y.xlsx %coordinates of the number samples \Numbers\Excel\Z.xlsx %coordinates of the number samples \Numbers\Matlab\label.xlsx %labels of the number samples \Numbers\Matlab\X.xlsx %coordinates of the number samples \Numbers\Matlab\Y.xlsx %coordinates of the number samples \Numbers\Matlab\Z.xlsx %coordinates of the number samples \Shapes\Excel\label.xlsx %labels of the shape samples \Shapes\Excel\X.xlsx %coordinates of the shape samples \Shapes\Excel\Y.xlsx %coordinates of the shape samples \Shapes\Excel\Z.xlsx %coordinates of the shape samples \Shapes\Matlab\label.xlsx %labels of the shape samples \Shapes\Matlab\X.xlsx %coordinates of the shape samples \Shapes\Matlab\Y.xlsx %coordinates of the shape samples \Shapes\Matlab\Z.xlsx %coordinates of the shape samples