We have developed software that uses the R statistics software environment to automatically generate tactile graphs — i.e. graphs that can be read by blind people using their sense of touch. We released this software as a Web application to make it available to anyone, from anywhere. This Web application can automatically generate images for tactile graphs from numerical data in a CSV file. It is currently able to generate four types of graph — scatter plots, line graphs, bar charts and pie charts. This paper describes the Web application's functions, operating procedures and the results of evaluation experiments.
Tetsuya WATANABE
Niigata University
Kosuke ARAKI
Canon Imaging Systems Inc.
Toshimitsu YAMAGUCHI
Niigata University
Kazunori MINATANI
National Center for University Entrance Examinations
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Tetsuya WATANABE, Kosuke ARAKI, Toshimitsu YAMAGUCHI, Kazunori MINATANI, "Development of Tactile Graph Generation Web Application Using R Statistics Software Environment" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 8, pp. 2151-2160, August 2016, doi: 10.1587/transinf.2015EDP7405.
Abstract: We have developed software that uses the R statistics software environment to automatically generate tactile graphs — i.e. graphs that can be read by blind people using their sense of touch. We released this software as a Web application to make it available to anyone, from anywhere. This Web application can automatically generate images for tactile graphs from numerical data in a CSV file. It is currently able to generate four types of graph — scatter plots, line graphs, bar charts and pie charts. This paper describes the Web application's functions, operating procedures and the results of evaluation experiments.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDP7405/_p
Copy
@ARTICLE{e99-d_8_2151,
author={Tetsuya WATANABE, Kosuke ARAKI, Toshimitsu YAMAGUCHI, Kazunori MINATANI, },
journal={IEICE TRANSACTIONS on Information},
title={Development of Tactile Graph Generation Web Application Using R Statistics Software Environment},
year={2016},
volume={E99-D},
number={8},
pages={2151-2160},
abstract={We have developed software that uses the R statistics software environment to automatically generate tactile graphs — i.e. graphs that can be read by blind people using their sense of touch. We released this software as a Web application to make it available to anyone, from anywhere. This Web application can automatically generate images for tactile graphs from numerical data in a CSV file. It is currently able to generate four types of graph — scatter plots, line graphs, bar charts and pie charts. This paper describes the Web application's functions, operating procedures and the results of evaluation experiments.},
keywords={},
doi={10.1587/transinf.2015EDP7405},
ISSN={1745-1361},
month={August},}
Copy
TY - JOUR
TI - Development of Tactile Graph Generation Web Application Using R Statistics Software Environment
T2 - IEICE TRANSACTIONS on Information
SP - 2151
EP - 2160
AU - Tetsuya WATANABE
AU - Kosuke ARAKI
AU - Toshimitsu YAMAGUCHI
AU - Kazunori MINATANI
PY - 2016
DO - 10.1587/transinf.2015EDP7405
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2016
AB - We have developed software that uses the R statistics software environment to automatically generate tactile graphs — i.e. graphs that can be read by blind people using their sense of touch. We released this software as a Web application to make it available to anyone, from anywhere. This Web application can automatically generate images for tactile graphs from numerical data in a CSV file. It is currently able to generate four types of graph — scatter plots, line graphs, bar charts and pie charts. This paper describes the Web application's functions, operating procedures and the results of evaluation experiments.
ER -