Electroencephalography-based imagined speech recognition using deep long short-term memory network

Electroencephalography-based imagined speech recognition using deep long short-term memory network

This article proposes a subject-independent application of brain–computer interfacing (BCI). A 32-channel Electroencephalography (EEG) device is used to measure imagined speech (SI) of four words (sos, stop, medicine, washroom) and one phrase (come-here) across 13 subjects. A deep long short-term me...

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Bibliographic Details
Main Authors: Prabhakar Agarwal, Sandeep Kumar
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2022-08-01
Series:ETRI Journal
Subjects:
brain–computer interface
deep learning
eeg
imagined speech recognition
long short term memory
Online Access:https://doi.org/10.4218/etrij.2021-0118

Internet

https://doi.org/10.4218/etrij.2021-0118

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