Author
Listed:
- Nikhil Gupta
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
- Henry Cheung
(Massachusetts Institute of Technology)
- Syamantak Payra
(Massachusetts Institute of Technology
Stanford University)
- Gabriel Loke
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
- Jenny Li
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
- Yongyi Zhao
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
- Latika Balachander
(Rhode Island School of Design)
- Ella Son
(Rhode Island School of Design)
- Vivian Li
(Brown University)
- Samuel Kravitz
(Massachusetts Institute of Technology)
- Sehar Lohawala
(Massachusetts Institute of Technology)
- John Joannopoulos
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
- Yoel Fink
(Massachusetts Institute of Technology
Massachusetts Institute of Technology)
Abstract
Despite advancements in wearable technologies1,2, barriers remain in achieving distributed computation located persistently on the human body. Here a textile fibre computer that monolithically combines analogue sensing, digital memory, processing and communication in a mass of less than 5 g is presented. Enabled by a foldable interposer, the two-dimensional pad architectures of microdevices were mapped to three-dimensional cylindrical layouts conforming to fibre geometry. Through connection with helical copper microwires, eight microdevices were thermally drawn into a machine-washable elastic fibre capable of more than 60% stretch. This programmable fibre, which incorporates a 32-bit floating-point microcontroller, independently performs edge computing tasks even when braided, woven, knitted or seam-sewn into garments. The universality of the assembly process allows for the integration of additional functions with simple modifications, including a rechargeable fibre power source that operates the computer for nearly 6 h. Finally, we surmount the perennial limitation of rigid interconnects by implementing two wireless communication schemes involving woven optical links and seam-inserted radio-frequency communications. To demonstrate its utility, we show that garments equipped with four fibre computers, one per limb, operating individually trained neural networks achieve, on average, 67% accuracy in classifying physical activity. However, when networked, inference accuracy increases to 95% using simple weighted voting.
Suggested Citation
Nikhil Gupta & Henry Cheung & Syamantak Payra & Gabriel Loke & Jenny Li & Yongyi Zhao & Latika Balachander & Ella Son & Vivian Li & Samuel Kravitz & Sehar Lohawala & John Joannopoulos & Yoel Fink, 2025.
"A single-fibre computer enables textile networks and distributed inference,"
Nature, Nature, vol. 639(8053), pages 79-86, March.
Handle:
RePEc:nat:nature:v:639:y:2025:i:8053:d:10.1038_s41586-024-08568-6
DOI: 10.1038/s41586-024-08568-6
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