Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human–Machine Interactions

Flexible and wearable devices have exhibited potential for applications in the fields of human-machine interactions (HMIs) and Internet of Things. However, challenges remain in the improvement of the communication storage capacity with a simplified architecture. Inspired by tension regulation in natural tendons, a single-channel wearable HMI strategy is proposed using the eigenfrequency of magnetized strings as a sensing solution. Based on electromagnetic induction, mechanical vibration of the magnetized string can electrically induce periodical damping signals in the coil that are associated with the intrinsic eigenfrequency property of the string. Using a theoretical vibration model, nonoverlapping eigenfrequencies are precisely customized by designing the dimension/modulus or tension status of the string to broaden the eigenfrequency library. By integrating strings with different eigenfrequencies, multiple commands can be realized with a single communication channel. Moreover, identifiable commands can be flexibly tuned with only one magnetized string by customizing the tensile length (string tension) for eigenfrequency regulation. Demonstrations such as tactile addressing, authentication systems, and robotic control indicate the potential of the interface for multifunctional HMI applications. We expect that this strategy will provide a valuable reference for the future design of wearable HMI interfaces with high storage capacity and controllability in an accessible architecture.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-11-25
DOI
https://doi.org/10.1021/acsami.4c16653
Citations
5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.92

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article

Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human–Machine Interactions

Bingpu Zhou, Yuanzhe Liang, Dan Fang, Biao Qi et al.
5 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
0.92
article

Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human–Machine Interactions

Bingpu Zhou, Yuanzhe Liang, Dan Fang, Biao Qi, Sen Ding, Chao Peng, Ming Lei, Wenxue Dai
article en
5 citations

Abstract

Flexible and wearable devices have exhibited potential for applications in the fields of human-machine interactions (HMIs) and Internet of Things. However, challenges remain in the improvement of the communication storage capacity with a simplified architecture. Inspired by tension regulation in natural tendons, a single-channel wearable HMI strategy is proposed using the eigenfrequency of magnetized strings as a sensing solution. Based on electromagnetic induction, mechanical vibration of the magnetized string can electrically induce periodical damping signals in the coil that are associated with the intrinsic eigenfrequency property of the string. Using a theoretical vibration model, nonoverlapping eigenfrequencies are precisely customized by designing the dimension/modulus or tension status of the string to broaden the eigenfrequency library. By integrating strings with different eigenfrequencies, multiple commands can be realized with a single communication channel. Moreover, identifiable commands can be flexibly tuned with only one magnetized string by customizing the tensile length (string tension) for eigenfrequency regulation. Demonstrations such as tactile addressing, authentication systems, and robotic control indicate the potential of the interface for multifunctional HMI applications. We expect that this strategy will provide a valuable reference for the future design of wearable HMI interfaces with high storage capacity and controllability in an accessible architecture.

ACS Applied Materials & InterfacesVol. 16(49)
University of Macau (MO), Wuyi University (CN)
Fundo para o Desenvolvimento das Ciências e da Tecnologia, Guangdong Science and Technology Department, Wuyi University
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.92
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