User participatory sensing for disaster detection and mitigation in urban environments

Shin’ichi Konomi, Kazuki Wakasa, Masaki Ito, Kaoru Sezaki

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

Abstract

Pervasive communication technologies have opened up the opportunities for citizens to cope with disasters by exploiting networked mobile devices. However, existing approaches often overlook the brittleness of the technological infrastructures and rely heavily on users’ manual inputs. In this paper, we propose a robust and resilient sensing environment by extending and integrating cooperative location inference and participatory sensing using smartphones and IoTs. The proposed approach encourages proactive engagement in disaster mitigation by means of everyday data collection and end-user deployment of IoT sensors.

Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions - 4th International Conference, DAPI 2016 and Held as Part of HCI International 2016 Toronto, ON, Canada, July 17–22, 2016, Proceedings
EditorsNorbert Streitz, Panos Markopoulos
PublisherSpringer Verlag
Pages459-469
Number of pages11
ISBN (Print)9783319398617
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: Jul 17 2016Jul 22 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9749
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Human-Computer Interaction, HCI International 2016
CountryCanada
CityToronto
Period7/17/167/22/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'User participatory sensing for disaster detection and mitigation in urban environments'. Together they form a unique fingerprint.

Cite this