JOURNAL ARTICLE

A programmable magnetoelastic sensor array for self-powered human–machine interface

Jing XuTrinny TatXun ZhaoYihao ZhouDiantha NgoXiao XiaoJun Chen

Year: 2022 Journal:   Applied Physics Reviews Vol: 9 (3)   Publisher: American Institute of Physics

Abstract

Skin-integrated electronics that directly interact with machines are transforming our ways of life toward the emerging trend of the metaverse. Consequently, developing a wearable and skin-conformal interface that simultaneously features waterproofness, low cost, and low power consumption for human–machine interaction remains highly desired. Herein, a stretchable, inexpensive, and waterproof magnetoelastic sensor array has been developed as a secondary skin for self-powered human–machine interaction. The magnetoelastic sensor array utilizes the giant magnetoelastic effect in a soft system, which converts mechanical pressure to magnetic field variation and, when coupled with the magnetic induction, can generate electricity. In such a way, our magnetoelastic sensor array comprises the giant magnetomechanical coupling layer made up of nanomagnets and a porous silicone rubber matrix, and the magnetic induction layer, which are coils patterned by liquid metal. With programmable functionalities, the soft magnetoelastic sensor array can supply different commands by producing bespoke electric signals from human finger touch with an optimal signal-to-noise ratio of 34 dB and a rapid response time of 0.2s. To pursue a practical application, the soft magnetoelastic sensor array can wirelessly turn on and off a household lamp and control a music speaker via Bluetooth continuously in real time, even with contact with high-humidity environments such as heavy perspiration. With a collection of compelling features, the soft magnetoelastic sensor array puts forth a unique and savvy avenue of self-powered bioelectronic technology that practically enables a wider variety of applications for wearable human–machine interaction.

Keywords:
Computer science Wearable computer Electrical engineering Materials science Tactile sensor Coupling (piping) Interposer Acoustics Mechanical engineering Optoelectronics Layer (electronics) Nanotechnology Embedded system Robot Engineering Physics Artificial intelligence

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84
Cited By
8.99
FWCI (Field Weighted Citation Impact)
37
Refs
0.98
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Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Conducting polymers and applications
Physical Sciences →  Materials Science →  Polymers and Plastics
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