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Fuji-chan: A unique IoT ambient display for monitoring Mount Fuji's conditions

Published: 20 June 2017 Publication History

Abstract

Fuji-chan is a simple ambient display device, which uses a wireless internet connection to monitor two important characteristics of Mount Fuji, Japan's largest mountain. This system utilises two internet-based data feeds to inform people of the weather conditions at the peak of the mountain, along with the current level of volcanic eruption risk. We consider the latter information in particular to be of great importance. These two data feeds are communicated via LEDs placed at the top and base of the device, along with aural output to indicate volcanic eruption warning levels. We also created a simple web interface for this information. By creating this device and application, we aim to reimagine how geospatial information can be presented, while also creating something which is visually appealing. Through the demonstration of this multimodal system, we also aim to promote the idea of an "Internet of Beautiful Things", where IOT technology is applied to interactive artworks.

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Published In

cover image ACM Conferences
MMSys'17: Proceedings of the 8th ACM on Multimedia Systems Conference
June 2017
407 pages
ISBN:9781450350020
DOI:10.1145/3083187
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2017

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Author Tags

  1. IoT
  2. Mixed/Augmented Reality
  3. aesthetics
  4. ambient media
  5. disaster information
  6. geospatial design
  7. light installation

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  • Demonstration
  • Research
  • Refereed limited

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MMSys'17
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MMSys'17: Multimedia Systems Conference 2017
June 20 - 23, 2017
Taipei, Taiwan

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MMSys'17 Paper Acceptance Rate 13 of 47 submissions, 28%;
Overall Acceptance Rate 176 of 530 submissions, 33%

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