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A Smart Garment for Older Walkers

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Impact Analysis of Solutions for Chronic Disease Prevention and Management (ICOST 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7251))

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Abstract

Walking is cited as the best form of exercise for persons over the age of 60. In this paper we outline the development and evaluation of a smart garment system that is used to monitor the wellbeing of users in addition to their overall physical activity regimes. A technological solution has been produced offering the desired functionality and is delivered in a simple user-friendly form factor. In this paper we outline the development and evaluation of a prototype as part of an iterative development cycle, with 6 participants aged between 60 and 73 years of age. The results show that technology has the potential to be accepted by older users and improve their activity regimes.

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References

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Author information

Authors and Affiliations

  1. Computer Science Research Institute, University of Ulster, United Kingdom

    William Burns, Chris Nugent, Paul McCullagh, Dewar Finlay, Ian Cleland, Sally McClean & Bryan Scotney

  2. University of Wales, Newport, United Kingdom

    Jane McCann

Authors
  1. William Burns
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  2. Chris Nugent
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  3. Paul McCullagh
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  4. Dewar Finlay
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  5. Ian Cleland
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  6. Sally McClean
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  7. Bryan Scotney
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  8. Jane McCann
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Editor information

Editors and Affiliations

  1. School of Computing and Mathematics, University of Ulster at Jordanstown, Shore Road, BT37 0QB, Newtownabbey, Co. Antrim, UK

    Mark Donnelly

  2. I+ s.r.l., Piazza Puccini 26, 50144, Florence, Italy

    Cristiano Paggetti

  3. School of Computing and Mathematics, University of Ulster at Jordanstown, Shore Road, BT 37 0QB, Newtownabbey, Co. Antrim, UK

    Chris Nugent

  4. Institut Telecom/Telecom SudParis, France

    Mounir Mokhtari

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© 2012 Springer-Verlag Berlin Heidelberg

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Burns, W. et al. (2012). A Smart Garment for Older Walkers. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_39

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  • DOI: https://doi.org/10.1007/978-3-642-30779-9_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30778-2

  • Online ISBN: 978-3-642-30779-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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