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Development of Adaptive Software for Individuals with Hearing Loss

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Trends and Applications in Information Systems and Technologies (WorldCIST 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1365))

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Abstract

This study proposes the creation of a software capable of adapting sounds generated by a smartphone to an intensity range according to the user’s needs. Tests were carried out with 11 participants and the results are presented in this work.

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Notes

  1. 1.

    https://developer.apple.com/xcode/.

  2. 2.

    https://audiokit.io.

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Acknowledgment

The work was supported by the Coordenação de Aperfeiçoamento de Pessoal de nível superior - Brazil (CAPES) - Programa de Excelência - Proex 1133/2019.

Author information

Authors and Affiliations

  1. Computing and Informatics Department, Mackenzie Presbyterian University, São Paulo, Brazil

    Pedro Giuliano Farina

  2. Developmental Disorders, Mackenzie Presbyterian University, São Paulo, Brazil

    Cibelle Albuquerque de la Higuera Amato & Valéria Farinazzo Martins

Authors
  1. Pedro Giuliano Farina
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  2. Cibelle Albuquerque de la Higuera Amato
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  3. Valéria Farinazzo Martins
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Editor information

Editors and Affiliations

  1. ISEG, University of Lisbon, Lisbon, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. Department of Information Sciences, University of Sheffield, Lisbon, Portugal

    Ana Maria Ramalho Correia

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Farina, P.G., de la Higuera Amato, C.A., Martins, V.F. (2021). Development of Adaptive Software for Individuals with Hearing Loss. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1365. Springer, Cham. https://doi.org/10.1007/978-3-030-72657-7_51

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