• Mr. Rajendra Singh
• Dr. K. Karthikeyan

Brain-computer interface (BCI) spelling software aids the disabled in their ability to communicate. The BCI speller allows patients to communicate without using their bodies by translating brain waves into computer commands. EEG signals are used by BCI spellers to create letters. You can pick from a variety of BCI spellers that use electroencephalogram readings. The three main parts of a BCI speller system are the paradigm, the data collection mechanism, and the signal processing algorithms. Feature extraction, feature optimization, and classification algorithms are explored alongside BCI speller paradigms in this research. Both the benefits and drawbacks of the speller paradigm and the machine learning approach are discussed in this article. Future BCI speller research may be free of certain limitations.

Brain-computer interface; Motor imagery; steady-state visually evoked potential (SSVEP); P300; Machine learning

"A Speller Mechanism for Alternative Communication Using Brain-Computer Interface: A Scoping Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.f641-f646, May-2023, Available :http://www.jetir.org/papers/JETIR2305595.pdf

"A Speller Mechanism for Alternative Communication Using Brain-Computer Interface: A Scoping Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppf641-f646, May-2023, Available at : http://www.jetir.org/papers/JETIR2305595.pdf