Full-body NFC: body-scale near-field sensor networks with machine-knittable meandered e-textiles
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arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916654550614016 |
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| author | Takahashi, Ryo Han, Changyo Yukita, Wakako Ho, John S. Sasatani, Takuya Noda, Akihito Yokota, Tomoyuki Someya, Takao Kawahara, Yoshihiro |
| author_facet | Takahashi, Ryo Han, Changyo Yukita, Wakako Ho, John S. Sasatani, Takuya Noda, Akihito Yokota, Tomoyuki Someya, Takao Kawahara, Yoshihiro |
| contents | Wireless body networks comprising battery-free on-body sensors and textile-based wireless readers can enable daily health monitoring and activity tracking by continuously monitoring physiological signals across the body. However, previous textile-based wireless networks made of coils or antennas have limited the data and power transmission area because covering the whole body results in undesirable levels of electromagnetic interactions with the body, degrading the scalability, power consumption, and data rate. Here, we report Full-body NFC, digitally-knitted electronic textiles based on a twin meander coil design that enables body-scale near-field communication (NFC) with battery-free sensor tags arbitrarily placed around the body. Full-body NFC features i) a meander coil that enhances the magnetic field intensity on the body's surface while suppressing undesired interactions with deep tissues, in addition to ii) paired identical coil structure that enables highly-sensitive and motion-robust NFC using a differential architecture. Additionally, industrial digital knitting machines loaded with conductive yarn allow the integration of the Full-body NFC system into daily garments supporting approximately $70-80\%$ large-scale NFC-enabled area of the body. We demonstrate Full-body NFC could achieve mW-class energy-efficient near-field sensor networks with hundreds of kbps-class NFC battery-free sensor tags occupying less than $0.3\%$ of the coverage area under severe body movements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_13240 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Full-body NFC: body-scale near-field sensor networks with machine-knittable meandered e-textiles Takahashi, Ryo Han, Changyo Yukita, Wakako Ho, John S. Sasatani, Takuya Noda, Akihito Yokota, Tomoyuki Someya, Takao Kawahara, Yoshihiro Human-Computer Interaction Wireless body networks comprising battery-free on-body sensors and textile-based wireless readers can enable daily health monitoring and activity tracking by continuously monitoring physiological signals across the body. However, previous textile-based wireless networks made of coils or antennas have limited the data and power transmission area because covering the whole body results in undesirable levels of electromagnetic interactions with the body, degrading the scalability, power consumption, and data rate. Here, we report Full-body NFC, digitally-knitted electronic textiles based on a twin meander coil design that enables body-scale near-field communication (NFC) with battery-free sensor tags arbitrarily placed around the body. Full-body NFC features i) a meander coil that enhances the magnetic field intensity on the body's surface while suppressing undesired interactions with deep tissues, in addition to ii) paired identical coil structure that enables highly-sensitive and motion-robust NFC using a differential architecture. Additionally, industrial digital knitting machines loaded with conductive yarn allow the integration of the Full-body NFC system into daily garments supporting approximately $70-80\%$ large-scale NFC-enabled area of the body. We demonstrate Full-body NFC could achieve mW-class energy-efficient near-field sensor networks with hundreds of kbps-class NFC battery-free sensor tags occupying less than $0.3\%$ of the coverage area under severe body movements. |
| title | Full-body NFC: body-scale near-field sensor networks with machine-knittable meandered e-textiles |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.13240 |