📝 Online handwritten English numeral dataset created in an Air-Writing environment.
The dataset can be browsed here.
If you've used this dataset in your research or project, consider citing the associated papers:
@Article{Rahman2021,
author={Rahman, Adil
and Roy, Prasun
and Pal, Umapada},
title={Air Writing: Recognizing Multi-Digit Numeral String Traced in Air Using RNN-LSTM Architecture},
journal={SN Computer Science},
year={2021},
month={Jan},
day={06},
volume={2},
number={1},
pages={20},
issn={2661-8907},
doi={10.1007/s42979-020-00384-9},
url={https://doi.org/10.1007/s42979-020-00384-9}
}
@InProceedings{10.1007/978-3-030-41404-7_6,
author="Rahman, Adil
and Roy, Prasun
and Pal, Umapada",
editor="Palaiahnakote, Shivakumara
and Sanniti di Baja, Gabriella
and Wang, Liang
and Yan, Wei Qi",
title="Continuous Motion Numeral Recognition Using RNN Architecture in Air-Writing Environment",
booktitle="Pattern Recognition",
year="2020",
publisher="Springer International Publishing",
address="Cham",
pages="76--90",
isbn="978-3-030-41404-7",
url={https://link.springer.com/chapter/10.1007/978-3-030-41404-7_6}
}
The dataset browser uses a Numpy JS read/write script by Lingdong Huang.
The icons used in the dataset browser are PD/MIT licensed and sourced from SVGRepo.