Simultaneous Isotropic Omnidirectional Hypersensitive Strain Sensing and Deep Learning‐Assisted Direction Recognition in a Biomimetic Stretchable Device

M Muzi Xu (Electrical Engineering Division, Department of Engineering, University of Cambridge) J Jiaqi Zhang C Chaoqun Dong (Department of Mechanical Engineering Columbia University New York USA) C Chenyu Tang (Electrical Engineering Division, Department of Engineering, University of Cambridge) F Fangxin Hu (School of Materials Science and Engineering Suzhou University of Science and Technology Suzhou 215009 China) G George G. Malliaras L Luigi G. Occhipinti (Electrical Engineering Division, Department of Engineering, University of Cambridge)

Abstract

AbstractOmnidirectional strain sensing and direction recognition ability are features of the human tactile sense, essential to address the intricate and dynamic requirements of real‐world applications. Most of the current strain sensors work by converting uniaxial strain into electrical signals, which restricts their use in environments with multiaxial strain. Here, the first device with simultaneous isotropic omnidirectional hypersensitive strain sensing and direction recognition (IOHSDR) capabilities is introduced. By mimicking the human fingers from three dimensions, the IOHSDR device realizes a novel heterogeneous substrate that incorporates the involute of a circle, resulting in isotropic behavior in the radial direction and anisotropic property in the involute direction for hypersensitive strain sensing. With the assistance of a deep learning‐based model, the IOHSDR device accomplishes an impressive accuracy of 99.58% in recognizing 360° stretching directions. Additionally, it exhibits superior performance in the typical properties of stretchable strain sensors, with a gauge factor of 634.12, an ultralow detection limit of 0.01%, and outstanding durability exceeding 15 000 cycles. The demonstration of radial artery pulse and throat vibration applications highlights the IOHSDR's unique characteristics of isotropic omnidirectional sensing and precise direction detection unleashing new classes of wearable health monitoring devices.

Article Details

Volume / Issue Vol. 37, Issue 17
Published April 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (7)

M

Muzi Xu

Electrical Engineering Division, Department of Engineering, University of Cambridge

J

Jiaqi Zhang

C

Chaoqun Dong

Department of Mechanical Engineering Columbia University New York USA

C

Chenyu Tang

Electrical Engineering Division, Department of Engineering, University of Cambridge

F

Fangxin Hu

School of Materials Science and Engineering Suzhou University of Science and Technology Suzhou 215009 China

G

George G. Malliaras

L

Luigi G. Occhipinti

Electrical Engineering Division, Department of Engineering, University of Cambridge