Editorial Epublish
PubMed: 40478327 DOI: 10.1007/s40820-025-01809-x
Fibre Computer Enables More Accurate Recognition of Human Activity.
Nanomicro Lett 17(1):286
Authors: Qianyi Cheng, Jianfeng Li, Qichong Zhang
Affiliations
- School of Materials Science and Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China. Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, People's Republic of China.
- School of Materials Science and Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, People's Republic of China.
- Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, People's Republic of China.
Abstract
The advancement of fibre electronics is crucial for developing wearable smart textiles. However, traditional single-function fibres are typically limited to basic sensing and data collection capabilities, lacking effective computational and multimodal signal processing abilities, thus significantly restricting their potential in human activity recognition. Recently, Gupta et al. introduced an innovative single-fibre computer embedding eight microelectronic devices, integrating sensing, communication, and computation into a single fibre. Establishing a distributed cooperative fibre network substantially enhanced human activity recognition accuracy from 67% (single-fibre scenario) to 95%. This novel approach effectively addresses the limitations of conventional smart fibres, paving the way for multi-point sensing, edge-based inference, and real-time human-computer interactions in future intelligent textiles.
MeSH
Computers, Multiple Chronic Conditions, Textiles