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Activity recognition with wearable sensors on loose clothing

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  • Brendan Michael
  • Matthew Howard

Abstract

Observing human motion in natural everyday environments (such as the home), has evoked a growing interest in the development of on-body wearable sensing technology. However, wearable sensors suffer from motion artefacts introduced by the non-rigid attachment of sensors to the body, and the prevailing view is that it is necessary to eliminate these artefacts. This paper presents findings that suggest that these artefacts can, in fact, be used to distinguish between similar motions, by exploiting additional information provided by the fabric motion. An experimental study is presented whereby factors of both the motion and the properties of the fabric are analysed in the context of motion similarity. It is seen that while standard rigidly attached sensors have difficultly in distinguishing between similar motions, sensors mounted onto fabric exhibit significant differences (p

Suggested Citation

  • Brendan Michael & Matthew Howard, 2017. "Activity recognition with wearable sensors on loose clothing," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0184642
    DOI: 10.1371/journal.pone.0184642
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