Appearance similarity index for medicinal ampoule labels

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages588-597
Number of pages10
Volume6761 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2011
Event14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6761 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th International Conference on Human-Computer Interaction, HCI International 2011
CityOrlando, FL
Period11/7/911/7/14

Fingerprint

Labels
Medicine
Fourier series
Accidents
Color

Keywords

  • Ampoule labels
  • Fourier analysis
  • Medicinal safety
  • Wavelet analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kimura, M., Furukawa, Y., Kojo, A., Ishida, H., Nabeta, K., Ohkura, M., & Tsuchiya, F. (2011). Appearance similarity index for medicinal ampoule labels. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 6761 LNCS, pp. 588-597). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6761 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-21602-2_64

Appearance similarity index for medicinal ampoule labels. / Kimura, Masaomi; Furukawa, Yutaroh; Kojo, Akira; Ishida, Hirotsugu; Nabeta, Keita; Ohkura, Michiko; Tsuchiya, Fumito.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6761 LNCS PART 1. ed. 2011. p. 588-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6761 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kimura, M, Furukawa, Y, Kojo, A, Ishida, H, Nabeta, K, Ohkura, M & Tsuchiya, F 2011, Appearance similarity index for medicinal ampoule labels. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 edn, vol. 6761 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6761 LNCS, pp. 588-597, 14th International Conference on Human-Computer Interaction, HCI International 2011, Orlando, FL, 11/7/9. https://doi.org/10.1007/978-3-642-21602-2_64
Kimura M, Furukawa Y, Kojo A, Ishida H, Nabeta K, Ohkura M et al. Appearance similarity index for medicinal ampoule labels. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. Vol. 6761 LNCS. 2011. p. 588-597. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-21602-2_64
Kimura, Masaomi ; Furukawa, Yutaroh ; Kojo, Akira ; Ishida, Hirotsugu ; Nabeta, Keita ; Ohkura, Michiko ; Tsuchiya, Fumito. / Appearance similarity index for medicinal ampoule labels. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6761 LNCS PART 1. ed. 2011. pp. 588-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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