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Designing Multi-DoF Epidermal Bend Sensors Using Flexible Resistive Traces

Yu, J; Kariyawasam, H; Wu, S; Subramanian, S; Withana, A; (2025) Designing Multi-DoF Epidermal Bend Sensors Using Flexible Resistive Traces. IEEE Sensors Journal 10.1109/JSEN.2025.3623068. (In press). Green open access

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Abstract

We present a single-layer resistive epidermal bend sensor that senses four degrees of freedom (DoF) via combinatorial port connections within a unified pattern, avoiding multi-sensor arrays. We instantiate and compare four patterns (square-like, tree-like, arc-like, and honeycomb-like) under a common single-layer measurement strategy; we present modeling for the straight layout and empirical analyses for the others. With a 15:100 carbon-to-gel composite and a 0.3 mm conductive layer after 20% pre-strain, the material exhibits hysteresis of 0.6% and an average gauge factor magnitude of 0.6. The proposed design is thin, flexible, and conforms comfortably to the skin. Across test sets, 95.4% of angle estimates fall within ±2.798° of ground truth. Our approach utilizes cost-effective materials and accessible fabrication techniques. This paper demonstrates the potential of our method for various applications in epidermal sensing. We envision that the proposed resistive patterns will help designers create accurate, conformal, and multi-DoF sensors.

Type: Article
Title: Designing Multi-DoF Epidermal Bend Sensors Using Flexible Resistive Traces
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JSEN.2025.3623068
Publisher version: https://doi.org/10.1109/JSEN.2025.3623068
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Epidermal Sensor, Fabrication, Soft Sensors, Pattern Designs, multi-DoF
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10216724
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