oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Odor Recognition for Intelligent Systems
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
Örebro University, School of Science and Technology. (AASS)
2008 (English)In: IEEE Intelligent Systems, ISSN 1541-1672, Vol. 23, no 1, p. 41-48Article in journal (Refereed) Published
Abstract [en]

An electronic nose is an intelligent sensing device that uses a gas sensor array of partial and overlapping selectivity along with a pattern-recognition component to distinguish between simple and complex odors. To date, researchers have used e-noses in many applications and domains, from the food industry to medical diagnosis. A next stage in e-nose development is to introduce artificial olfaction into integrated systems, so e-noses can work with other sensors on more complex platforms, such as on mobile robots or in intelligent environments. Here, the authors offer an overview of the more critical challenges in integrating this important sense into intelligent systems. They also discuss Pippi, a mobile robot that uses different sensing modalities (visual, sonar, tactile, and e-nose sensors) along with high-level processes (planners and symbolic reasoning) to accomplish several olfactory-related tasks.

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE Computer Society , 2008. Vol. 23, no 1, p. 41-48
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-5174DOI: 10.1109/MIS.2008.11OAI: oai:DiVA.org:oru-5174DiVA, id: diva2:158097
Available from: 2009-01-29 Created: 2009-01-29 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Loutfi, AmyCoradeschi, Silvia

Search in DiVA

By author/editor
Loutfi, AmyCoradeschi, Silvia
By organisation
School of Science and Technology
Engineering and TechnologyComputer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 479 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf