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.