Spectral and spatial analysis of EEG signals for imagined speech recognition
Ashwin Kamble, Pradnya H. Ghare · 2024
Chapter 14 demonstrates the applicability of EEG signals for imagined speech applications using Hjorth parameters and entropy features. It discusses the importance of studying the inherent characteristics of imagined speech signals to enhance the performance of imagined speech recognition systems and, potentially, advance toward ‘mind reading’ capabilities in the future.