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Robertsson, Linn
Publications (4 of 4) Show all publications
Robertsson, L. (2007). Perception modeling and feature extraction for an electronic tongue. (Licentiate dissertation). Örebro University, Department of Technology, Örebro
Open this publication in new window or tab >>Perception modeling and feature extraction for an electronic tongue
2007 (English)Licentiate thesis, monograph (Other academic)
Place, publisher, year, edition, pages
Örebro University, Department of Technology, Örebro, 2007
Series
Studies from the Department of Technology at Örebro University, ISSN 1404-7225 ; 29
Keywords
electronic tongue, perception modeling
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:oru:diva-4536 (URN)
Presentation
(English)
Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2018-01-13
Robertsson, L., Iliev, B., Palm, R. & Wide, P. (2007). Perception modeling for human-like artificial sensor systems. International journal of human-computer studies, 65(5), 446-459
Open this publication in new window or tab >>Perception modeling for human-like artificial sensor systems
2007 (English)In: International journal of human-computer studies, ISSN 1071-5819, E-ISSN 1095-9300, Vol. 65, no 5, p. 446-459Article in journal (Refereed) Published
Abstract [en]

In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like sensors share their principle of operation with natural systems, their response can be interpreted in an intuitive way. Therefore, such sensors allow for easier and more natural human–machine interaction.

The approach is demonstrated in two applications. The first is an “electronic tongue”, which performs quality assessment of food and water. In the second application we describe the development of an artificial hand for dexterous manipulation. We show that human-like functionality can be achieved even if the structure of the system is not completely biologically inspired.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2007
Keywords
Artificial perceptual systems, Artificial hand, Electronic tongue, Human-based sensors, Passive perception, Active perception, Dexterous manipulation
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
urn:nbn:se:oru:diva-4089 (URN)10.1016/j.ijhcs.2006.11.003 (DOI)000244954800004 ()2-s2.0-33847079555 (Scopus ID)
Available from: 2007-11-01 Created: 2007-11-01 Last updated: 2023-12-08Bibliographically approved
Iliev, B., Lindquist, M., Robertsson, L. & Wide, P. (2006). A fuzzy technique for food- and water quality assessment with an electronic tongue. Fuzzy sets and systems (Print), 157(9), 1155-1168
Open this publication in new window or tab >>A fuzzy technique for food- and water quality assessment with an electronic tongue
2006 (English)In: Fuzzy sets and systems (Print), ISSN 0165-0114, E-ISSN 1872-6801, Vol. 157, no 9, p. 1155-1168Article in journal (Refereed) Published
Abstract [en]

The problem of food- and water quality assessment is important for many practical applications, such as food industry and environmental monitoring. In this article we present a method for fast online quality assessment based on electronic tongue measurements. The idea is implemented in two steps. First we apply a fuzzy clustering technique to obtain prototypes corresponding to good and bad quality from a set of training data. During the second, online step we evaluate the membership of the current measurement to each cluster and make a decision about its quality. The result is presented to the user in a simple and understandable way, similar to the concept of traffic light signals. Namely, good quality is indicated with by a green light, bad quality with a red one, and a yellow light is a warning signal. The approach is demonstrated in two case studies: quality assessment of drinking water and baby food.

National Category
Computer and Information Sciences Control Engineering
Research subject
Automatic Control
Identifiers
urn:nbn:se:oru:diva-3220 (URN)10.1016/j.fss.2005.12.014 (DOI)000236617700003 ()2-s2.0-33645082923 (Scopus ID)
Available from: 2007-01-26 Created: 2007-01-26 Last updated: 2023-12-08Bibliographically approved
Robertsson, L., Lindquist, M., Loutfi, A., Iliev, B. & Wide, P. (2005). Human based sensor systems for safety assessment. In: Proceedings of the 2005 IEEE International conference on computational intelligence for homeland security and personal safety, 2005. CIHSPS 2005. Paper presented at 2005 IEEE International conference on computational intelligence for homeland security and personal safety, Orlando FL, March 31 - April 1 2005. CIHSPS 2005 (pp. 137-142).
Open this publication in new window or tab >>Human based sensor systems for safety assessment
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2005 (English)In: Proceedings of the 2005 IEEE International conference on computational intelligence for homeland security and personal safety, 2005. CIHSPS 2005, 2005, p. 137-142Conference paper, Published paper (Refereed)
Abstract [en]

This paper focuses on the assumption that sensor system for personal use has optimal performance if coherent with the human perception system. Therefore, we provide arguments for this idea by demonstrating two examples. The first example is a personal taste sensor for use in finding abnormal ingredients in food. The second application is a mobile sniffing system, coherent with the behavior of a biological system when detecting unwanted material in hidden structures, e.g. explosives in a traveling bag

National Category
Engineering and Technology
Research subject
Industrial Measurement Technology
Identifiers
urn:nbn:se:oru:diva-3219 (URN)10.1109/CIHSPS.2005.1500628 (DOI)0-7803-9176-4 (ISBN)
Conference
2005 IEEE International conference on computational intelligence for homeland security and personal safety, Orlando FL, March 31 - April 1 2005. CIHSPS 2005
Available from: 2007-01-26 Created: 2007-01-26 Last updated: 2017-10-18Bibliographically approved
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