Appearance similarity index for medicinal ampoule labels

  • Authors:

  • Masaomi Kimura;Yutaroh Furukawa;Akira Kojo;Hirotsugu Ishida;Keita Nabeta;Michiko Ohkura;Fumito Tsuchiya

  • Affiliations:

  • Shibaura Institute of Technology, Koto Ward, Tokyo Japan;Shibaura Institute of Technology, Koto Ward, Tokyo Japan;Shibaura Institute of Technology, Koto Ward, Tokyo Japan;Graduate School of Technology, Shibaura Institute of Technology, Koto Ward, Tokyo Japan;Graduate School of Technology, Shibaura Institute of Technology, Koto Ward, Tokyo Japan;Shibaura Institute of Technology, Koto Ward, Tokyo Japan;International University of Health and Welfare, Ohdawara City, Tochigi, Japan

  • Venue:
  • HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
  • Year:
  • 2011

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Abstract

Since there are many ampoule injection medicines, it is important to make their labels easily distinguishable because confusing labels may lead to fatal accidents caused by administering the wrong medicine by mistake. In this paper, we utilize Fourier series expansion and wavelet transformation to extract the characteristics in labels and propose an index to measure similarity that we feel toward ampoule labels to prevent confusion in label designs. We also discuss a way of parameterizing colors.