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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Sound user Interface with Touch Panel for Data and Information Expression and its Application to Meteorological Data Representation

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 8 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100806

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Abstract

Sound User Interface (SUI) with touch panel for representation of quantitative data and information together with its application to meteorological data representation is proposed. The proposed SUI is not a merely ear-con. Through experiments, it is found that the proposed SUI combined with visual perception makes meteorologist to understand meteorological data intuitively and is much understandable than ever in a comprehensive manner. It is also useful to hear “images” in particular, for blind person.

Keywords

Audible meteorology remote sensing satellite musical scale multi-layered data SUI

How to Cite this Article

Arai, K. (2019). Sound user Interface with Touch Panel for Data and Information Expression and its Application to Meteorological Data Representation. International Journal of Advanced Computer Science and Applications, 10(8). https://doi.org/10.14569/IJACSA.2019.0100806

Arai, Kohei. "Sound user Interface with Touch Panel for Data and Information Expression and its Application to Meteorological Data Representation." International Journal of Advanced Computer Science and Applications, vol. 10, no. 8, 2019, https://doi.org/10.14569/IJACSA.2019.0100806.

@article{Arai2019,
  title     = {Sound user Interface with Touch Panel for Data and Information Expression and its Application to Meteorological Data Representation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {8},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2019.0100806},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100806}
}

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