Does loose fitting matter? Predicting sensor performance in smart garments

Does loose fitting matter? Predicting sensor performance in smart garments. Harms, H., Amft, O., & Tröster, G. In Bodynets 2012: Proceedings of the International Conference on Body Area Networks, pages 1--4, 2012. ACM. ISBN: 978-1-936968-60-2

Paper abstract bibtex

Smart sensing garments can extend the functionality of clothing beyond aesthetic and protective purposes. In contrast to skin-mounted sensors, garment-embedded sensor performance depends on ﬁtting. In this work, we present a modeling and simulation approach to predict sensor performance in garments. We implemented a state-of-the-art particle-based model of fabrics to simulate the topology and drape of the garment. Based on the simulation, we introduce a method to extract and visualize maps for garment-embedded sensor performance metrics. We present performance maps for three basic modalities pertained to orientation, skin contact, and strain. Design parameters as garment ﬁtting and material, and body proportion are analyzed regarding position speciﬁc sensor performance. To evaluate our model, we compared simulations to participant study data, conﬁrming that our approach is suitable to plan sensor positioning and garment design before implementing garment prototypes.

@InProceedings{Harms2012-P_Bodynets,
  Title                    = {Does loose fitting matter? Predicting sensor performance in smart garments},
  Author                   = {Holger Harms and Oliver Amft and Gerhard Tr\"oster},
  Booktitle                = {Bodynets 2012: Proceedings of the International Conference on Body Area Networks},
  Year                     = {2012},
  Note                     = {ISBN: 978-1-936968-60-2},
  Pages                    = {1--4},
  Publisher                = {ACM},

  Abstract                 = {Smart sensing garments can extend the functionality of clothing beyond aesthetic and protective purposes. In contrast to skin-mounted sensors, garment-embedded sensor performance depends on ﬁtting. In this work, we present a modeling and simulation approach to predict sensor performance in garments. We implemented a state-of-the-art particle-based model of fabrics to simulate the topology and drape of the garment. Based on the simulation, we introduce a method to extract and visualize maps for garment-embedded sensor performance metrics. We present performance maps for three basic modalities pertained to orientation, skin contact, and strain. Design parameters as garment ﬁtting and material, and body proportion are analyzed regarding position speciﬁc sensor performance. To evaluate our model, we compared simulations to participant study data, conﬁrming that our approach is suitable to plan sensor positioning and garment design before implementing garment prototypes.},
  File                     = {Harms2012-P_Bodynets.pdf:Harms2012-P_Bodynets.pdf:PDF},
  Owner                    = {oamft},
  Timestamp                = {2012/07/23},
  Url                      = {http://dl.acm.org/citation.cfm?id=2442693}
}

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