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Texture Recognition for Users with Color Vision Deficiencies

  • Fong-Gong WuEmail author
  • Erica Huang
  • Chao-Yuan Tseng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9176)

Abstract

In this study, we designed a new type of primary color recognition assistive system for this user group, adding (1) directly perceived labels (the label group), (2) shape and color related dots (the dot group), or (3) distinctive vein lines (the vein group) to help with the recognition of primary colors red, green, and blue. Verification and evaluation were done for each part of the results, in order to describe the accuracy and feasibility of each system. The study has been divided into two phases. The first phase is the preliminary experiment, in which the label group investigates and verifies the objects that represent each of the primary colors and transforms into representative labels. The second phase employs the results of the preliminary experiment from the three groups onto colored cards, forming experiment group through color vision deficiency simulators, then issue out questionnaires of performance evaluation and subjective preferences for each group. Experiment results show that regardless of group, there was significant help in color recognition, decreasing the recognition error rate and task completion time. In terms of subjective questionnaires, participants believe that the difficulty level of primary color recognition evidently decreased, with an average preference of 6 and above.

Keywords

Color vision Color vision deficiency Texture composition 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Industrial DesignNational Cheng Kung UniversityTainanTaiwan

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