mlsanityData to 14 Oct 2026

Distributed Sensing Along Fibres for Smart Clothing

arXiv 2402.09057 ↗First posted 14 Feb 2024eess.SP cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

Textile sensors transform our everyday clothing into a means to track movement and bio-signals in a completely unobtrusive way. One major hindrance to the adoption of "smart" clothing is the difficulty encountered with connections and space when scaling up the number of sensors. There is a lack of research addressing a key limitation in wearable electronics: connections between rigid and textile elements are often unreliable and they require interfacing sensors in a way incompatible with textile mass production methods. We introduce a prototype garment, compact readout circuit, and algorithm to measure localized strain along multiple regions of a fibre. We employ a helical auxetic yarn sensor with tunable sensitivity along its length to selectively respond to strain signals. We demonstrate distributed sensing in clothing, monitoring arm joint angles from a single continuous fibre. Compared to optical motion capture, we achieve around 5deg error in reconstructing shoulder, elbow, and wrist joint angles.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 59 references that are in the map. First posted on arXiv 14 Feb 2024.

Builds on

4 of 59 references.

References · 4

  1. 2018SIAN: software for structural identifiability analysis of ODE modelscited by 3
  2. 2020Nonlinear observability algorithms with known and unknown inputs: analysis and implementationcited by 1
  3. 2020Structured identification for network reconstruction of RC-modelscited by 1
  4. 2023Soft Continuum Actuator Tip Position and Contact Force Prediction, Using Electrical Impedance Tomography and Recurrent Neural Networkscited by 1

Built on by

Not cited yet.