Photochromic carpet: Playful floor canvas with color-changing footprints

Daniel Saakes, Takahiro Tsujii, Kohei Nishimura, Tomoko Hashida, Takeshi Naemura

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

2 Citations (Scopus)

Abstract

Natural environments record their past and reveal usage in subtle cues such as erosion and footprints. In modern society of concrete cities and dynamic touch screens, this richness is lost. We present a large size interactive floor display that captures visitors' footsteps in playful prints to make a modern environment into a canvas of past activities. The implementation consists of a carpet coated with color changing ink and shoes that activate color changes. Each step a visitor makes results in a dynamic print that slowly fades away.

Original languageEnglish
Title of host publicationAdvances in Computer Entertainment - 10th International Conference, ACE 2013, Proceedings
Pages622-625
Number of pages4
DOIs
Publication statusPublished - 2013 Dec 1
Event10th International Conference on Advances in Computer Entertainment, ACE 2013 - Boekelo, Netherlands
Duration: 2013 Nov 122013 Nov 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8253 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Advances in Computer Entertainment, ACE 2013
CountryNetherlands
CityBoekelo
Period13/11/1213/11/15

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Keywords

  • Color changing material
  • Interactive floor display

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Saakes, D., Tsujii, T., Nishimura, K., Hashida, T., & Naemura, T. (2013). Photochromic carpet: Playful floor canvas with color-changing footprints. In Advances in Computer Entertainment - 10th International Conference, ACE 2013, Proceedings (pp. 622-625). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8253 LNCS). https://doi.org/10.1007/978-3-319-03161-3_67