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Intelligent feature...
Intelligent feature estimation, based on human's perceptual features
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- Kalaykov, Ivan (författare)
- Örebro universitet,Institutionen för teknik
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- Wide, Peter (författare)
- Örebro universitet,Institutionen för teknik
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(creator_code:org_t)
- 2003
- 2003
- Engelska.
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Ingår i: IEEE international workshop on soft computing techniques in instrumentation, measurement and related applications, 2003. - 0780377117 ; , s. 44-48
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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visa färre...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- feature extraction
- learning
- process monitoring
- quality control
- sensors
- user interfaces
- Computer and Systems Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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