ShapeSense3D - textile-sensing and reconstruction of body geometries

Lugoda, Pasindu, Garcia-Garcia, Leonardo A, Richoz, Sebastian, Munzenrieder, Niko and Roggen, Daniel (2019) ShapeSense3D - textile-sensing and reconstruction of body geometries. In: Ubicomp 2019, 11th-13th September 2019, London. (Accepted)

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Abstract

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.

Item Type: Conference or Workshop Item (Poster)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Sensor Technology Research Centre
Subjects: T Technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics > TK7874 Microelectronics. Integrated circuits > TK7878 Electronic measurements
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Depositing User: Don Pasindu Lugoda
Date Deposited: 09 Jul 2019 13:30
Last Modified: 24 Jul 2019 10:58
URI: http://sro.sussex.ac.uk/id/eprint/84755

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Project NameSussex Project NumberFunderFunder Ref
SmartSensOticsUnsetEPSRC, GCRF and NIHREP/R013837/1