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ShapeSense3D - textile-sensing and reconstruction of body geometries

conference contribution
posted on 2023-06-09, 18:19 authored by Don Pasindu Vijai Lugoda, Leonardo Garcia-GarciaLeonardo Garcia-Garcia, Sebastien Richoz, Niko Munzenrieder, Daniel RoggenDaniel Roggen
We present an implementation of a textile sensing sleeve with attached strain sensors to capture the shape of body parts. A shape reconstruction algorithm was developed to reconstruct a geometrical model of the deformed sleeve using the elongation measurements obtained from the sensors and an optimisation process. The current system achieves a 0.44 mm error when reconstructing the radius of a conical shape. We discuss future improvements required to form a more reliable 3D shape sensing device. After further development, this sleeve could be utilised for health care application such as muscle density measurements, movement tracking or to replace plaster or thermoplastic casting in the fabrication of orthoses and prostheses.

Funding

SmartSensOtics; EPSRC, GCRF and NIHR; EP/R013837/1

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers

Publisher

ACM

Page range

133-136

Event name

UbiComp '19: The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Event location

London, UK

Event type

conference

Event date

09-13 September 2019

ISBN

9781450368698

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-07-09

First Compliant Deposit (FCD) Date

2019-07-05

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