Residential College | false |
Status | 已發表Published |
Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human-Machine Interactions | |
Qi, Biao1; Ding, Sen1; Liang, Yuanzhe1; Fang, Dan1; Lei, Ming1; Dai, Wenxue1; Peng, Chao2; Zhou, Bingpu1,3 | |
2024-11-25 | |
Source Publication | ACS Applied Materials & Interfaces |
ISSN | 1944-8244 |
Volume | 16Issue:49Pages:68465-68477 |
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. |
Keyword | Human−machine Interaction Eigenfrequency Tension String Vibration Flexible Magnetized System |
DOI | 10.1021/acsami.4c16653 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics ; Materials Science |
WOS Subject | Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary |
WOS ID | WOS:001362837300001 |
Publisher | AMER CHEMICAL SOC, 1155 16TH ST, NW, WASHINGTON, DC 20036 |
Scopus ID | 2-s2.0-85210310676 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING DEPARTMENT OF PHYSICS AND CHEMISTRY |
Corresponding Author | Ding, Sen; Zhou, Bingpu |
Affiliation | 1.Joint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Taipa, Avenida da Universidade, 999078, Macao 2.School of Environmental and Chemical Engineering, Jiangmen Key Laboratory of Synthetic Chemistry and Cleaner Production and Institute of Carbon Peaking and Carbon Neutralization, Wuyi University, Jiangmen, 529020, China 3.Department of Physics and Chemistry, Faculty of Science and Technology, University of Macau, Taipa, Avenida da Universidade, 999078, Macao |
First Author Affilication | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING |
Corresponding Author Affilication | INSTITUTE OF APPLIED PHYSICS AND MATERIALS ENGINEERING; Faculty of Science and Technology |
Recommended Citation GB/T 7714 | Qi, Biao,Ding, Sen,Liang, Yuanzhe,et al. Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human-Machine Interactions[J]. ACS Applied Materials & Interfaces, 2024, 16(49), 68465-68477. |
APA | Qi, Biao., Ding, Sen., Liang, Yuanzhe., Fang, Dan., Lei, Ming., Dai, Wenxue., Peng, Chao., & Zhou, Bingpu (2024). Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human-Machine Interactions. ACS Applied Materials & Interfaces, 16(49), 68465-68477. |
MLA | Qi, Biao,et al."Bioinspired Magnetized String with Tension-Dependent Eigenfrequencies for Wearable Human-Machine Interactions".ACS Applied Materials & Interfaces 16.49(2024):68465-68477. |
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