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.
Authors
- Xi Tian (ORCID: https://orcid.org/0000-0003-1633-1210)
- Xiping Hu (ORCID: https://orcid.org/0000-0002-4952-699X)
- Fengman He
- Xinyue Chai
- Wenbo Ding (ORCID: https://orcid.org/0000-0002-0597-4512)
- Tianyiyi He (ORCID: https://orcid.org/0000-0003-0642-4894)
- Yimeng Zhang (ORCID: https://orcid.org/0000-0003-2248-8951)
- Qinghao Xu (ORCID: https://orcid.org/0000-0001-5746-5894)
- Yuchen Wang (ORCID: https://orcid.org/0000-0002-6165-6500)
- Yiru Jiang
- Chun Jin
- Juerui Lin
- Qianrui Luo
- Tong Wu
- Changqing Guo
Institutions
- 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)
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
- 0.00