HASCA_2021_Sensors_enhanced_for_shape_reconstruction.pdf (28.7 MB)
Inferring complex textile shape from an integrated carbon black-infused ecoflex-based bend and stretch sensor array
conference contribution
posted on 2023-06-10, 00:33 authored by Leonardo Garcia-GarciaLeonardo Garcia-Garcia, George Valsamakis, Paul M Kreitmair, Niko Munzenrieder, Daniel RoggenDaniel RoggenWe demonstrate how an array of custom-made strain and bend sensors could be integrated into a stretchable sleeve to infer the textile deformation. The angles and elongation measured by the sensors can be used by an optimisation-based algorithm to infer the textile geometrical model by minimising a loss function. We evaluated this on 4 shapes highlighting different body-part characteristics. We demonstrated that a 3.11 mm reconstruction error on complex geometries can be reduced up to 0.08 mm with the computation of angles. This proves the potential of the proposed prototype for capturing the shape of a body parts, muscle density measurement, body shape acquisition, the fabrication of orthoses and prostheses, or to perform movement sensing for human activity recognition, where it could be included in sports leggings for biomechanical analysis, or in everyday garments for motion and gesture sensing.
History
Publication status
- Published
File Version
- Accepted version
Journal
UbiComp '21 conferencePublisher
Association for Computing MachineryExternal DOI
Page range
298-303Event name
Ubicomp 2021Event location
OnlineEvent type
conferenceEvent date
September 21 - 26, 2021Place of publication
New York, NY, United StatesISBN
9781450384612Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-08-06First Open Access (FOA) Date
2021-10-12First Compliant Deposit (FCD) Date
2021-08-06Usage metrics
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