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Image Adaptation Based on Color Saturation and Linear Matrices for People with Deuteranopia-Type Color Blindness

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Universal Access in Human-Computer Interaction. Design Methods and User Experience (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12768))

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Abstract

Around 350 million color blind people in the world and 64% of people indicated that color blindness was their biggest problem and 42% considered it difficult to fully integrate into society. This type of condition is not usually understood as a disability, however it could be the cause of dangerous situations depending on the context in which the person suffering from it is found. Color blindness has various color perception conditions. In this paper, a description of the types of color blindness is presented and the development of an assistive technology that allows deuteronopia-type color blind users to view modified images to mitigate the deficiency is presented. The modification of the images is based on algebraic transformations use of the image, color saturation and linear arrays. The app was tested and validated with color blind people and achieved an 83% approval rating.

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Author information

Authors and Affiliations

  1. Maestría en Computación, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica

    Daniel Delgado-Cedeño

  2. Inclutec, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica

    Mario Chacón-Rivas

Authors
  1. Daniel Delgado-Cedeño
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  2. Mario Chacón-Rivas
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Corresponding author

Correspondence to Mario Chacón-Rivas .

Editor information

Editors and Affiliations

  1. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  2. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

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Delgado-Cedeño, D., Chacón-Rivas, M. (2021). Image Adaptation Based on Color Saturation and Linear Matrices for People with Deuteranopia-Type Color Blindness. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design Methods and User Experience. HCII 2021. Lecture Notes in Computer Science(), vol 12768. Springer, Cham. https://doi.org/10.1007/978-3-030-78092-0_23

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  • DOI: https://doi.org/10.1007/978-3-030-78092-0_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78091-3

  • Online ISBN: 978-3-030-78092-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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