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Lund, Anja
Publications (2 of 2) Show all publications
Syrén, F., Li, C., Billing, E., Lund, A. & Nierstrasz, V. (2016). Characterization of textile resistive strain sensors. In: : . Paper presented at 16th World Textile Conference AUTEX 2016, Ljubljana, Slovenia, 8-10 June 2016.
Open this publication in new window or tab >>Characterization of textile resistive strain sensors
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2016 (English)Conference paper, Poster (with or without abstract) (Other academic)
Keywords
resistive sensor, textile, characterization, resolution, hysteresis, dynamic/linear range
National Category
Signal Processing
Research subject
Textiles and Fashion (General); Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-12545 (URN)
Conference
16th World Textile Conference AUTEX 2016, Ljubljana, Slovenia, 8-10 June 2016
Projects
Bärbara sensorer i smarta textilierStrategiskt samarbete Borås-Skövde
Funder
Swedish Foundation for Strategic Research Region Västra Götaland, RUN 612-0197-13]
Available from: 2016-06-21 Created: 2016-06-21 Last updated: 2018-08-03Bibliographically approved
Li, C., Bredies, K., Lund, A., Nierstrasz, V., Hemeren, P. & Högberg, D. (2015). k-Nearest-Neighbour based Numerical Hand Posture Recognition using a Smart Textile Glove. In: MaartenWeyn (Ed.), AMBIENT 2015: The Fifth International Conference on Ambient Computing, Applications, Services and Technologies. Paper presented at AMBIENT 2015: The Fifth International Conference on Ambient Computing, Applications, Services and Technologies, July 19 - 24, 2015, Nice, France (pp. 36-41). International Academy, Research and Industry Association (IARIA)
Open this publication in new window or tab >>k-Nearest-Neighbour based Numerical Hand Posture Recognition using a Smart Textile Glove
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2015 (English)In: AMBIENT 2015: The Fifth International Conference on Ambient Computing, Applications, Services and Technologies / [ed] MaartenWeyn, International Academy, Research and Industry Association (IARIA), 2015, p. 36-41Conference paper, Published paper (Refereed)
Abstract [en]

In this article, the authors present an interdisciplinary project that illustrates the potential and challenges in dealing with electronic textiles as sensing devices. An interactive system consisting of a knitted sensor glove and electronic circuit and a numeric hand posture recognition algorithm based on k-nearestneighbour (kNN) is introduced. The design of the sensor glove itself is described, considering two sensitive fiber materials – piezoresistive and piezoelectric fibers – and the construction using an industrial knitting machine as well as the electronic setup is sketched out. Based on the characteristics of the textile sensors, a kNN technique based on a condensed dataset has been chosen to recognize hand postures indicating numbers from one to five from the sensor data. The authors describe two types of data condensation techniques (Reduced Nearest Neighbours and Fast Condensed Nearest Neighbours) in order to improve the data quality used by kNN, which are compared in terms of run time, condensation rate and recognition accuracy. Finally, the article gives an outlook on potential application scenarios for sensor gloves in pervasive computing.

Place, publisher, year, edition, pages
International Academy, Research and Industry Association (IARIA), 2015
National Category
Computer Sciences Textile, Rubber and Polymeric Materials
Research subject
Interaction Lab (ILAB); User Centred Product Design
Identifiers
urn:nbn:se:his:diva-12105 (URN)978-1-61208-421-3 (ISBN)
Conference
AMBIENT 2015: The Fifth International Conference on Ambient Computing, Applications, Services and Technologies, July 19 - 24, 2015, Nice, France
Note

Research supported by Västra Götalandsregionen (VGR), grant number RUN 612-0197-13.

Available from: 2016-04-06 Created: 2016-04-06 Last updated: 2018-08-03Bibliographically approved
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