Metamaterial-enabled battery-free wireless sensor networks for unencumbered human-machine interactions

Abstract Wireless body sensor networks could enable unencumbered human-machine interfaces for robotics, assistive healthcare, and immersive computing. However, their widespread adoption remains constrained by bulky batteries and inefficient wireless communication. Here, we report a battery-free wireless body sensor network enabled by a dual-mode metamaterial textile for continuous and unobtrusive human-machine interactions. The textile, digitally embroidered with liquid-metal fibers, establishes ultra-wideband electromagnetic pathways to simultaneously support efficient near-field power transfer and Bluetooth communication across the entire human body. This architecture enhances data throughput by 37.8 times and doubles wireless power transfer efficiency compared with emerging near-field clothing. When worn, the metamaterial-integrated clothing allows an NFC-enabled smartphone to serve as a central hub, wirelessly delivering power to and acquiring multimodal signals from distributed battery-free HMI sensors. We demonstrate that this battery-free body sensor network remains robust during motion and enables intuitive, unencumbered interactions in robotic control, virtual reality, and human digital twins.

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Publication Details

Journal
Nature Communications
Published
2026-09-14
DOI
https://doi.org/10.1038/s41467-026-77600-2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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Metamaterial-enabled battery-free wireless sensor networks for unencumbered human-machine interactions

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Nature Communications
Advanced Sensor and Energy Harvesting Materials
article

Metamaterial-enabled battery-free wireless sensor networks for unencumbered human-machine interactions

Xi Tian, Xiping Hu, Fengman He, Xinyue Chai, Wenbo Ding, Tianyiyi He, Yimeng Zhang, Qinghao Xu, Yuchen Wang, Yiru Jiang, Chun Jin, Juerui Lin, Qianrui Luo, Tong Wu, Changqing Guo
article en

Abstract

Abstract Wireless body sensor networks could enable unencumbered human-machine interfaces for robotics, assistive healthcare, and immersive computing. However, their widespread adoption remains constrained by bulky batteries and inefficient wireless communication. Here, we report a battery-free wireless body sensor network enabled by a dual-mode metamaterial textile for continuous and unobtrusive human-machine interactions. The textile, digitally embroidered with liquid-metal fibers, establishes ultra-wideband electromagnetic pathways to simultaneously support efficient near-field power transfer and Bluetooth communication across the entire human body. This architecture enhances data throughput by 37.8 times and doubles wireless power transfer efficiency compared with emerging near-field clothing. When worn, the metamaterial-integrated clothing allows an NFC-enabled smartphone to serve as a central hub, wirelessly delivering power to and acquiring multimodal signals from distributed battery-free HMI sensors. We demonstrate that this battery-free body sensor network remains robust during motion and enables intuitive, unencumbered interactions in robotic control, virtual reality, and human digital twins.

Nature Communications
Beijing Institute of Technology (CN), Shenzhen University (CN), University Town of Shenzhen (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Shenzhen MSU-BIT University, Tsinghua University (CN)
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
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