An all-optical fiber sensor based on Tapered No-Core Fiber coated with PDMS and Ti3C2Tx MXene

The performance, repeatability, and stability of the sensor were measured,Sensors are applied to gesture recognition and human-computer interaction. By utilizing wavelength division multiplexing technology, multiple sensors measure finger movements and improve recognition accuracy through backpropagation neural network algorithms. Five commonly used gestures were recognized and the sensor posture was determined based on light intensity. This type of structural sensor has advantages such as direct design, cost-effectiveness, and consistent performance, making it highly suitable for potential applications in various fields, including environmental monitoring, wearable devices, and human-computer interaction.We hope that this sensor can be better applied in various scenarios and can be used in artificial intelligence.