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Multi-material direct ink writing and embroidery for stretchable wearable sensors

Abstract:
The development of wearable sensing systems for sports performance tracking, rehabilitation, and injury prevention has driven a growing demand for smart garments that combine comfort, durability, and accurate motion detection. This paper presents a textile-compatible fabrication workflow that integrates multi-material direct ink writing with automated embroidery to create stretchable strain sensors directly embedded onto garments. The process combines sequential multi-material printing of a silicone–carbon grease–silicone stack with automated embroidery, which provides both mechanical fixation and electrical interfacing in a single step. The resulting hybrid sensor demonstrates stretchability up to 120% strain while maintaining electrical continuity, with approximately linear behaviour up to 60% strain (R² = 0.99), a gauge factor of 31.4, and a hysteresis of 22.9%. Repeated loading–unloading tests over 80 cycles show baseline and peak drift of 0.135% and 0.236% per cycle, respectively, reflecting moderate cycle-to-cycle stability. Mechanical testing further confirms that the silicone–fabric interface remains intact under large deformation, with failure occurring in the textile rather than at the stitched boundary. As a preliminary proof of concept, the sensor was integrated into wearable elbow and knee sleeves for joint angle monitoring, showing a clear correlation between normalised resistance change (ΔR/R) and bending angle. By addressing both mechanical fixation and electrical interfacing through embroidery-based integration, this approach provides a reproducible and scalable pathway for incorporating printed stretchable electronics into textile systems for motion capture and soft robotic applications.
Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Exeter College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
IEEE
Publication date:
2026-03-18
Acceptance date:
2026-01-30
Event title:
9th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2026)
Event location:
Kanazawa, Japan
Event website:
https://www.robosoft2026.org/
Event start date:
2026-04-07
Event end date:
2026-04-11


Language:
English
Keywords:
Pubs id:
2394963
Local pid:
pubs:2394963
Deposit date:
2026-03-25
ARK identifier:

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