MoBT _x ‐Based Triboelectric Sensor Arrays With High‐Performance for Intelligent Sign Language Interpretation

ABSTRACT Wearable triboelectric pressure sensors hold tremendous promise in sign language recognition. Nevertheless, the poor stability and low output are unfavorable to acquire accurate and stable electrical signals for wearable sensors. Herein, we have prepared a waterproof and stable MoBT x /PDMS‐based triboelectric pressure sensor with a controllable dielectric constant. This pressure sensor illustrates high output performance (144 V, 2800 nA, and 46 nC), high stability (5000 cycles stretching, 5000 cycles bending, and 5000 cycles after washing), and long‐term robustness (60 days). The sensor arrays with 7 channels consisting of step‐type and stripe‐type pressure sensors, can generate distinctive responses corresponding to specific hand gestures, contributing to a higher resolution of sign language letters. Integrated with a microcontroller, this system achieves precise gesture recognition and effective conversion of sign language movements into an audio signal for real‐time communication. This work offers a robust strategy toward reliable, high‐resolution, and real‐time sign language communication, advancing assistive technologies for individuals with disabilities.