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k-Nearest-Neighbour based Numerical Hand Posture Recognition using a Smart Textile Glove
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0002-7236-997X
Department of Design, Faculty of Textiles, Engineering and Business, University of Borås, Sweden.
Department of Textile Technology, Faculty of Textiles, Engineering and Business, University of Borås, Sweden.ORCID iD: 0000-0002-0558-942X
Department of Textile Technology, Faculty of Textiles, Engineering and Business, University of Borås, Sweden.
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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, 36-41 p.Conference 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. 36-41 p.
National Category
Computer Science Textile, Rubber and Polymeric Materials
Identifiers
URN: urn:nbn:se:his:diva-12105ISBN: 978-1-61208-421-3 OAI: oai:DiVA.org:his-12105DiVA: diva2:917517
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: 2016-08-18Bibliographically approved

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Li, CaiLund, AnjaHemeren, PaulHögberg, Dan
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