ISBN
Formato digital
979-13-87837-54-9
Fecha de publicación
06-10-2025
Licencia
D. R. © Copyright 2025. Alma Y. Alanis, Jorge Galvez, Omar Avalos, Eduardo Méndez-Palos, Jorge D. Rios, Adriana Peña Perez-Negron & Gabriel Martínez Soltero
Todos los contenidos de esta obra se comparten bajo la licencia Creative Commons Atri-bución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0). Esto implica que no está autorizado el uso comercial de la obra original ni de las eventuales obras derivadas, las cuales deberán distribuirse bajo la misma licencia que rige la obra original. No obstante, se permite a terceros compartir el contenido siempre y cuando se reconozca debidamente la autoría y la publicación original en esta editorial.
Emilio Barajas González
Universidad de Guadalajara
0000-0002-0468-6244
Maria Cristina Padilla Becerra
Universidad de Guadalajara
0009-0000-1530-0450
Eduardo Méndez Palos
Universidad de Guadalajara
0000-0002-3267-024X
Alma Yolanda Alanis García
Universidad de Guadalajara
0000-0001-9600-779X
Acerca de
Imagined Speech decoding through brain-computer interfaces has emerged as a promising approach for assisting people with severe communication challenges. Imagined speech refers to brain activity generated when a person internally simulates Speech without vocalizing, enabling communication through non-invasive methods like electroencephalography. This work comprehensively reviews Imagined Speech research, categorizing studies into three strands: syllable imagination, command imagination and basic needs. Comparative tables highlight the methodologies, languages, classifiers, and performance metrics used across studies. Results show significant variability in accuracy due to differences in data acquisition, signal processing, and classification algorithms. Despite notable advances, challenges remain in generalizing mod
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