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