oru.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Knowing without telling: integrating sensing and mapping for creating an artificial companion
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-4001-2087
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-1470-6288
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS)ORCID-id: 0000-0002-3122-693X
2016 (engelsk)Inngår i: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, New York, NY, USA: Association for Computing Machinery (ACM), 2016, s. 11:1-11:4Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper depicts a sensor-based map navigation approach which targets users, who due to disabilities or lack of technical knowledge are currently not in the focus of map system developments for personalized information. What differentiates our approach from the state-of-art mostly integrating localized social media data, is that our vision is to integrate real time sensor generated data that indicates the situation of dfferent phenomena (such as the physiological functions of the body) related to the user. The challenge hereby is mainly related to knowledge representation and integration. The tentative impact of our vision for future navigation systems is re ected within a scenario.

sted, utgiver, år, opplag, sider
New York, NY, USA: Association for Computing Machinery (ACM), 2016. s. 11:1-11:4
Emneord [en]
Navigation, Sensors, Personal Travel Assistant, Ontology
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-54274DOI: 10.1145/2996913.2996961ISI: 000403647900011Scopus ID: 2-s2.0-85011016494ISBN: 978-1-4503-4589-7 (tryckt)OAI: oai:DiVA.org:oru-54274DiVA, id: diva2:1061942
Konferanse
24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), Burlingame, California, USA, October 31 - November 3, 2016
Forskningsfinansiär
Knowledge Foundation, 20140033Tilgjengelig fra: 2017-01-04 Laget: 2017-01-04 Sist oppdatert: 2018-02-02bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Alirezaie, MarjanKlügl, FranziskaLoutfi, Amy

Søk i DiVA

Av forfatter/redaktør
Alirezaie, MarjanKlügl, FranziskaLoutfi, Amy
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 679 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf