Analysis of Variation in Electrode Location and frequency on Imagined Speech Task Prediction

Imagined speech decoding aims to decipher the speech intentions of individuals by analyzing their brain activity patterns captured through EEG recordings. This emerging technology holds great potential for revolutionizing communication for individuals with speech impairments or those unable to vocalize their thoughts. This paper presents a comprehensive exploration of imagined speech decoding using EEG signals. The study is based on the KARA ONE database, a rich collection of EEG recordings obtained from participants engaging in imagined speech tasks. This paper analyses the effect of variation in electrode location and frequency on Classification Accuracy.