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Peer-reviewedCC BY-NCScience Advances

A self-powered finger-worn wireless tracking interface for human-machine interaction

  • Kaixian Li1
  • Lirong Tang1
  • Siqi Gong1
  • Chuncai Shan2
  • Shuyan Xu1
  • Shaokun Gong1
  • Tingyu Wang1
  • Cuilin Zhang3
  • Yi Xi1
  • Xue Wang1
  • Chenguo Hu1
  • Hengyu Guo1
  1. 1School of Physics, Chongqing University, Chongqing, 400044, P. R. China.
  2. 2Faculty of Environmental Science & Engineering, Kunming University of Science and Technology, Kunming, 650500, P. R. China.
  3. 3School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing, 400067, P. R. China.
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Abstract

Continuous touch positioning and trajectory tracking are essential for immersive human-machine interaction, yet conventional interfaces are fundamentally limited by rigid power supplies and tethered data transmission. Here, we present a completely self-powered, finger-worn interface that wirelessly transmits spatial trajectory data driven solely by biomechanical motion. The device integrates a miniaturized (3.7 cm²) corona-discharge triboelectric nanogenerator with a flexible electromagnetic transmitter, converting multidirectional fingertip movement directly into wireless communication signals. By coupling these signals with three non-collinear receivers and a machine-learning-assisted decoding algorithm, the system achieves sub-millimeter localization accuracy (<0.9 mm). We demonstrate the interface's capability for the high-fidelity reconstruction of handwritten inputs, enabling robust human-machine control. By synergizing motion-energy harvesting with precise spatial tracking, this work offers an untethered, self-contained paradigm for next-generation interactive intelligent systems.

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Cite

BibTeXRIS
BibTeX
@article{li2026selfpowered,
  title = {{A self-powered finger-worn wireless tracking interface for human-machine interaction}},
  author = {Kaixian Li and Lirong Tang and Siqi Gong and Chuncai Shan and Shuyan Xu and Shaokun Gong and Tingyu Wang and Cuilin Zhang and Yi Xi and Xue Wang and Chenguo Hu and Hengyu Guo},
  journal = {Science Advances},
  year = {2026},
  month = oct,
  doi = {10.1126/sciadv.aek0501},
  url = {https://www.science.org/doi/abs/10.1126/sciadv.aek0501},
  note = {CC BY-NC},
}
RIS
TY  - JOUR
TI  - A self-powered finger-worn wireless tracking interface for human-machine interaction
AU  - Kaixian Li
AU  - Lirong Tang
AU  - Siqi Gong
AU  - Chuncai Shan
AU  - Shuyan Xu
AU  - Shaokun Gong
AU  - Tingyu Wang
AU  - Cuilin Zhang
AU  - Yi Xi
AU  - Xue Wang
AU  - Chenguo Hu
AU  - Hengyu Guo
PY  - 2026
DA  - 2026/10/28
JO  - Science Advances
DO  - 10.1126/sciadv.aek0501
UR  - https://www.science.org/doi/abs/10.1126/sciadv.aek0501
AB  - Continuous touch positioning and trajectory tracking are essential for immersive human-machine interaction, yet conventional interfaces are fundamentally limited by rigid power supplies and tethered data transmission. Here, we present a completely self-powered, finger-worn interface that wirelessly transmits spatial trajectory data driven solely by biomechanical motion. The device integrates a miniaturized (3.7 cm²) corona-discharge triboelectric nanogenerator with a flexible electromagnetic transmitter, converting multidirectional fingertip movement directly into wireless communication signals. By coupling these signals with three non-collinear receivers and a machine-learning-assisted decoding algorithm, the system achieves sub-millimeter localization accuracy (<0.9 mm). We demonstrate the interface's capability for the high-fidelity reconstruction of handwritten inputs, enabling robust human-machine control. By synergizing motion-energy harvesting with precise spatial tracking, this work offers an untethered, self-contained paradigm for next-generation interactive intelligent systems.
SN  - 2375-2548
ER  -