Wireless Mouth Motion Recognition System Based on EEG-EMG Sensors for Severe Speech Impairments

This study aims to demonstrate the feasibility of using a new wireless electroencephalography (EEG)–electromyography (EMG) wearable approach to generate characteristic EEG-EMG mixed patterns with mouth movements in order to detect distinct movement patterns for severe speech impairments. This paper...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Kee S. Moon, John S. Kang, Sung Q. Lee, Jeff Thompson, Nicholas Satterlee
Format:	Article
Language:	English
Published:	MDPI AG 2024-06-01
Subjects:	biomedical signal processing wearable biomedical sensors machine learning speech disability human–computer-interface
Online Access:	https://www.mdpi.com/1424-8220/24/13/4125