oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Intelligent feature estimation, based on human's perceptual features
Örebro University, Department of Technology.
Örebro University, Department of Technology.
2003 (English)In: IEEE international workshop on soft computing techniques in instrumentation, measurement and related applications, 2003: SCIMA 2003, 2003, p. 44-48Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a relatively new human-computer interaction paradigm, where a human operator's perceptual actions are mimicked by the computer. In this sensor controlled system concept, we estimate a specific feature characterizing, for example, product quality, and apply intelligent analysis and an optimization to assess product quality as acquired by a human expert. The human operator contributes his/her intelligence to this man-machine interaction through learning the measurement system. An illustrative example shows how the human operator's knowledge and experience are learned by a sensor based system within a complex dough mixing optimization process in an industrial bread baking plant. The resulting sensor system acts as an intelligent feature estimator in a complex industrial process for monitoring the dynamical behavior there. The system allows easy sensor observation and makes decisions based on learning interaction with a human.

Place, publisher, year, edition, pages
2003. p. 44-48
Keyword [en]
feature extraction, learning, process monitoring, quality control, sensors, user interfaces
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-4278DOI: 10.1109/SCIMA.2003.1215929ISBN: 0-7803-7711-7 (print)OAI: oai:DiVA.org:oru-4278DiVA, id: diva2:138577
Conference
IEEE International Workshop on Soft Computing Techniques in Instrumentation, Measurement and Related Applications, SCIMA 2003, 17-17 May
Available from: 2007-12-14 Created: 2007-12-14 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Kalaykov, IvanWide, Peter

Search in DiVA

By author/editor
Kalaykov, IvanWide, Peter
By organisation
Department of Technology
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 19 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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