Biocompatible Radio Frequency Fingertip Sensor Array for Multiscenario Human–Machine Interaction

Abstract With the rapid development of intelligent technology, wearable devices have emerged as essential hardware platforms for human–machine interaction due to their biocompatibility, portability, and breathability. In this work, a wearable sensor array system is presented based on radiofrequency signals, adaptable to various human–machine interaction scenarios. To ensure suitability for long‐term wear, the system employs a silk fibroin composite film, containing biocompatibility structures, as the substrate to achieve excellent biocompatibility. Considering the requirements for lightweight and practical design, the sensor array adapts a passive, chip‐less architecture, utilizing radio frequency technology for contactless sensing. The system is capable of simultaneously detecting both resonant frequency and return loss, thereby streamlining user‐end operation. By incorporating a back‐propagation neural network, the system achieves high‐precision recognition of hand commands, with an accuracy of 98.6%, enabling applications such as robotic arm control, virtual game interaction, and language expression. This system demonstrates promising application prospects in fields including rehabilitation medicine, functional assistance and reconstruction, and daily support for individuals with disabilities.

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Publication Details

Journal
Advanced Materials Technologies
Published
2025-09-01
DOI
https://doi.org/10.1002/admt.202501235
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Biocompatible Radio Frequency Fingertip Sensor Array for Multiscenario Human–Machine Interaction

Jiawei Jin, Z Gao, Feiyang Huang, Zijian An et al.
Advanced Materials Technologies
Advanced Sensor and Energy Harvesting Materials
article

Biocompatible Radio Frequency Fingertip Sensor Array for Multiscenario Human–Machine Interaction

Jiawei Jin, Z Gao, Feiyang Huang, Zijian An, Yanmei Qiu, Qing Ye, Xin Li, Qingjun Liu, Rui Sun, Hao Wen
article en

Abstract

Abstract With the rapid development of intelligent technology, wearable devices have emerged as essential hardware platforms for human–machine interaction due to their biocompatibility, portability, and breathability. In this work, a wearable sensor array system is presented based on radiofrequency signals, adaptable to various human–machine interaction scenarios. To ensure suitability for long‐term wear, the system employs a silk fibroin composite film, containing biocompatibility structures, as the substrate to achieve excellent biocompatibility. Considering the requirements for lightweight and practical design, the sensor array adapts a passive, chip‐less architecture, utilizing radio frequency technology for contactless sensing. The system is capable of simultaneously detecting both resonant frequency and return loss, thereby streamlining user‐end operation. By incorporating a back‐propagation neural network, the system achieves high‐precision recognition of hand commands, with an accuracy of 98.6%, enabling applications such as robotic arm control, virtual game interaction, and language expression. This system demonstrates promising application prospects in fields including rehabilitation medicine, functional assistance and reconstruction, and daily support for individuals with disabilities.

Advanced Materials TechnologiesVol. 10(24)
Jiangxi University of Traditional Chinese Medicine (CN), Zhejiang University (CN), Taizhou University (CN)
China Postdoctoral Science Foundation, Taizhou Municipal Science and Technology Bureau, Science and Technology Plan Project of Wenzhou, China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 78%
Advanced Sensor and Energy Harvesting Materials
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