A Tongue‐Computer Tactile Interface Mediated by the Magnetoelectric‐Driven Tribovoltaic Sensors

Abstract

ABSTRACT Current human‐computer interaction (HCI) technologies often suffer from wearing discomfort, noise sensitivity, user fatigue, and privacy concerns, particularly for users with physical disabilities or those requiring high‐precision control. In this study, we address the aforementioned challenges by designing an interactive tongue‐computer interface (ITCI) that enables precise, hands‐free interaction through subtle tongue movements. The ITCI utilizes an array of direct current tribovoltaic tactile sensors enhanced by the magnetoelectric effect, achieving a peak current density of 10.72 A m −2 , a charge density of 718 mC m −2 , and a sensitivity of 90 µA N −1 . integration with a bidirectional long short‐term memory (BiLSTM) neural network yields a recognition accuracy of 99.98%, supporting diverse interactive applications, including smart wheelchair control, robotic manipulation, and immersive gaming. This self‐powered, noninvasive interface enhances user autonomy and privacy, offering a robust platform for intelligent, energy‐efficient, and hands‐free human–machine interaction.