Appearance similarity index for medicinal ampoule labels

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

研究成果: Conference contribution

1 引用 (Scopus)

抄録

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.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ588-597
ページ数10
6761 LNCS
エディションPART 1
DOI
出版物ステータスPublished - 2011
イベント14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL
継続期間: 2011 7 92011 7 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
6761 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other14th International Conference on Human-Computer Interaction, HCI International 2011
Orlando, FL
期間11/7/911/7/14

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Labels
Medicine
Fourier series
Accidents
Color

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Kimura, M., Furukawa, Y., Kojo, A., Ishida, H., Nabeta, K., Ohkura, M., & Tsuchiya, F. (2011). Appearance similarity index for medicinal ampoule labels. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 版, 巻 6761 LNCS, pp. 588-597). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6761 LNCS, 番号 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). 巻 6761 LNCS PART 1. 編 2011. p. 588-597 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 6761 LNCS, 番号 PART 1).

研究成果: Conference contribution

Kimura, M, Furukawa, Y, Kojo, A, Ishida, H, Nabeta, K, Ohkura, M & Tsuchiya, F 2011, Appearance similarity index for medicinal ampoule labels. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 Edn, 巻. 6761 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 番号 PART 1, 巻. 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 その他. Appearance similarity index for medicinal ampoule labels. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 版 巻 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). 巻 6761 LNCS PART 1. 版 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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