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Distributed sensing along fibers for smart clothing.
Hannigan, Brett C; Cuthbert, Tyler J; Ahmadizadeh, Chakaveh; Menon, Carlo.
Affiliation
  • Hannigan BC; Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, 8008 Zurich, Switzerland.
  • Cuthbert TJ; Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, 8008 Zurich, Switzerland.
  • Ahmadizadeh C; Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, 8008 Zurich, Switzerland.
  • Menon C; Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, 8008 Zurich, Switzerland.
Sci Adv ; 10(12): eadj9708, 2024 Mar 22.
Article in En | MEDLINE | ID: mdl-38507488
ABSTRACT
Textile sensors transform our everyday clothing into a means to track movement and biosignals 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 fiber. We use 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 fiber. Compared to optical motion capture, we achieve around five degrees error in reconstructing shoulder, elbow, and wrist joint angles.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Textiles / Smart Materials Language: En Journal: Sci Adv Year: 2024 Document type: Article Affiliation country: Switzerland Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Textiles / Smart Materials Language: En Journal: Sci Adv Year: 2024 Document type: Article Affiliation country: Switzerland Country of publication: United States