Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces

Designing an efficient platform that enables verbal communication without vocalization remains a challenge. Here, the authors propose a silent speech interface by utilizing a deep learning algorithm combined with strain sensors attached near the subject’s mouth, able to collect 100 words and classif...

Full description

Bibliographic Details
Main Authors: Taemin Kim, Yejee Shin, Kyowon Kang, Kiho Kim, Gwanho Kim, Yunsu Byeon, Hwayeon Kim, Yuyan Gao, Jeong Ryong Lee, Geonhui Son, Taeseong Kim, Yohan Jun, Jihyun Kim, Jinyoung Lee, Seyun Um, Yoohwan Kwon, Byung Gwan Son, Myeongki Cho, Mingyu Sang, Jongwoon Shin, Kyubeen Kim, Jungmin Suh, Heekyeong Choi, Seokjun Hong, Huanyu Cheng, Hong-Goo Kang, Dosik Hwang, Ki Jun Yu
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-33457-9

Internet

https://doi.org/10.1038/s41467-022-33457-9

Similar Items