Conference item
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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- Files:
-
-
(Preview, Accepted manuscript, pdf, 5.1MB, Terms of use)
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Authors
- 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:
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pubs:2394963
- Deposit date:
-
2026-03-25
- ARK identifier:
Terms of use
- Copyright date:
- 2026
- Notes:
- This paper was presented at the 9th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2026), 7th-11th April 2026, Kanazawa, Japan. The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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