Conventional silent speech decoding devices are limited by dispersion–fidelity conflict, external disturbance, and sensing–communication separation. Here, the authors present an in-sensor communication scarf that captures multi-muscle activities to decode silent speech for speech recognition and assistive interaction applications.
- Yuchen Lin
- Shifan Yu
- Xinqin Liao
