Soft giant magnetoimpedance electronics enable contact-free human–machine interactions

Y Yizhang Wu (Department of Applied Physical Sciences, University of North Carolina) S Sicheng Xing (Department of Applied Physical Sciences, University of North Carolina) D Dingyi Yang (Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory, Department of Advanced Materials and Nanotechnology, Academy of Advanced Interdisciplinary Research, Xidian University) Y Yihan Liu (Department of Biostatistics, Yale School of Public Health) C Chi Ding (Department of Physics, Nanjing University) Z Zifeng Li (Department of Physics, Nanjing University) Q Qizhang Jiao (Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory, Department of Advanced Materials and Nanotechnology, Academy of Advanced Interdisciplinary Research, Xidian University) A Anran Zhang (Department of Applied Physical Sciences, University of North Carolina) Z Ziheng Guo (Department of Pancreatic Surgery, West China Hospital, Sichuan University) S Siyuan Liu (Sydney Dental School, Faculty of Medicine and Health, Charles Perkins Centre) W Wei Luo G Gongkai Yuan (Department of Applied Physical Sciences, University of North Carolina) M Meixiang Wang (Department of Chemical and Biomolecular Engineering, North Carolina State University) Y Yong Wang M Michael D. Dickey (Department of Chemical and Biomolecular Engineering, North Carolina State University) W Wubin Bai

Abstract

Magnetic sensing enables contact-free, three-dimensional human–machine interactions (HMI) with high selectivity and resilience to environmental noise. However, conventional magnetic films, mostly obtained via vacuum deposition, remain constrained by rigidity, instantaneous response, and single-mode. Here, we report a giant magnetoimpedance ionogel (GelGMI) in which electrostatically self-assembled ferromagnetic (FM) domains are uniformly dispersed in a soft ionogel matrix. Under a magnetic field, domain moments realign to reconfigure ionic pathways, yielding pronounced magnetoimpedance while maintaining performance at >1,000% strain and across orientations. The hysteretic relaxation of domain magnetization imparts retrospective neuron-like temporal summation, realizing sequence- and context-aware interaction. In addition, the self-healable matrix supports a complementary tactile mode whose impedance contrasts with contact-free magnetic proximity, enabling expandable and bimodal recognition. GelGMI delivers a record-high sensitivity while unifying stretchable, neuromorphic, and healable capabilities for contact-free HMI systems.

Article Details

Volume / Issue Vol. 123, Issue 4
Published January 27, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (16)

Y

Yizhang Wu

Department of Applied Physical Sciences, University of North Carolina

S

Sicheng Xing

Department of Applied Physical Sciences, University of North Carolina

D

Dingyi Yang

Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory, Department of Advanced Materials and Nanotechnology, Academy of Advanced Interdisciplinary Research, Xidian University

Y

Yihan Liu

Department of Biostatistics, Yale School of Public Health

C

Chi Ding

Department of Physics, Nanjing University

Z

Zifeng Li

Department of Physics, Nanjing University

Q

Qizhang Jiao

Wide Bandgap Semiconductor Technology Disciplines State Key Laboratory, Department of Advanced Materials and Nanotechnology, Academy of Advanced Interdisciplinary Research, Xidian University

A

Anran Zhang

Department of Applied Physical Sciences, University of North Carolina

Z

Ziheng Guo

Department of Pancreatic Surgery, West China Hospital, Sichuan University

S

Siyuan Liu

Sydney Dental School, Faculty of Medicine and Health, Charles Perkins Centre

W

Wei Luo

G

Gongkai Yuan

Department of Applied Physical Sciences, University of North Carolina

M

Meixiang Wang

Department of Chemical and Biomolecular Engineering, North Carolina State University

Y

Yong Wang

M

Michael D. Dickey

Department of Chemical and Biomolecular Engineering, North Carolina State University

W

Wubin Bai