Digital electronics in fibres enable fabric-based machine-learning inference
Implementation of digital electronics into fibres can enable real time monitoring of human physiological functions. Loke et al. show how digital functionalities can be incorporated into thin flexible polymeric fibre strands and applied for on-body machine-learning and intelligent textiles.
Enregistré dans:
Auteurs principaux: | Gabriel Loke, Tural Khudiyev, Brian Wang, Stephanie Fu, Syamantak Payra, Yorai Shaoul, Johnny Fung, Ioannis Chatziveroglou, Pin-Wen Chou, Itamar Chinn, Wei Yan, Anna Gitelson-Kahn, John Joannopoulos, Yoel Fink |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f8abdf3c7cea4e3482b7b551b55b51c1 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Electrostrictive microelectromechanical fibres and textiles
par: Tural Khudiyev, et autres
Publié: (2017) -
Structured multimaterial filaments for 3D printing of optoelectronics
par: Gabriel Loke, et autres
Publié: (2019) -
Self-assembled fibre optoelectronics with discrete translational symmetry
par: Michael Rein, et autres
Publié: (2016) -
Thermally-drawn fibers with spatially-selective porous domains
par: Benjamin Grena, et autres
Publié: (2017) -
Multifunctional non-woven fabrics of interfused graphene fibres
par: Zheng Li, et autres
Publié: (2016)