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

Authors

Kaixian Li, Lirong Tang, Siqi Gong, Chuncai Shan, Shuyan Xu, Shaokun Gong, Tingyu Wang, Cuilin Zhang, Yi Xi, Xue Wang, Chenguo Hu, Hengyu Guo

Published in

Science advances. Volume 12. Issue 44. Pages eaek0501. Oct 30, 2026. Epub Oct 28, 2026.

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.

PMID:
42950053
Bibliographic data and abstract were imported from PubMed on 29 Oct 2026.

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