Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
Saydul Akbar Murad, Nick Rahimi

TL;DR
This review summarizes recent progress and challenges in EEG-based brain signal decoding into text, highlighting current techniques, limitations, and future research directions to improve Brain-Computer Interface systems.
Contribution
It provides a comprehensive overview of EEG-to-text conversion methods, recent advancements, and outlines future research needs for more accurate and versatile BCI applications.
Findings
Significant progress in EEG-to-text decoding techniques
Existing challenges include accuracy and system constraints
Future directions involve exploring novel applications and improving performance
Abstract
The conversion of brain activity into text using electroencephalography (EEG) has gained significant traction in recent years. Many researchers are working to develop new models to decode EEG signals into text form. Although this area has shown promising developments, it still faces numerous challenges that necessitate further improvement. It's important to outline this area's recent developments and future research directions. In this review article, we thoroughly summarize the progress in EEG-to-text conversion. Firstly, we talk about how EEG-to-text technology has grown and what problems we still face. Secondly, we discuss existing techniques used in this field. This includes methods for collecting EEG data, the steps to process these signals, and the development of systems capable of translating these signals into coherent text. We conclude with potential future research directions,…
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