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In this study, we address the aforementioned challenges by designing an interactive tongue\u2010computer interface (ITCI) that enables precise, hands\u2010free 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\n                    <jats:sup>\u22122<\/jats:sup>\n                    , a charge density of 718 mC m\n                    <jats:sup>\u22122<\/jats:sup>\n                    , and a sensitivity of 90 \u00b5A N\n                    <jats:sup>\u22121<\/jats:sup>\n                    . integration with a bidirectional long short\u2010term 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\u2010powered, noninvasive interface enhances user autonomy and privacy, offering a robust platform for intelligent, energy\u2010efficient, and hands\u2010free human\u2013machine interaction.\n                  <\/jats:p>","DOI":"10.1002\/adma.202522639","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T13:19:09Z","timestamp":1770297549000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Tongue\u2010Computer Tactile Interface Mediated by the Magnetoelectric\u2010Driven Tribovoltaic Sensors"],"prefix":"10.1002","volume":"38","author":[{"given":"Jiarui","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of High\u2010Entropy Energy Materials and Devices Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences  Beijing P. R. 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