Intelligent feature estimation, based on human's perceptual features

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 analysi...

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Bibliographic Details
Main Authors: Kalaykov, I., Wide, P.
Format: Conference Proceeding
Language:English
Subjects:
Computer and Systems Science
Control systems
Datavetenskap
feature extraction
Humans
Instruments
Intelligent sensors
learning
Paper technology
process monitoring
Quality assessment
quality control
Rheology
Sensor phenomena and characterization
Sensor systems
sensors
user interfaces
World Wide Web
Online Access:Request full text
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Summary: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.
DOI:10.1109/SCIMA.2003.1215929