IIST BCI Dataset-4 for Selected 100 Telugu words

To address the challenges faced by patients with neurodegenerative disorders, Brain-Computer Interface (BCI) solutions are being developed. However, many current datasets lack inclusion of languages spoken by patients, such as Telugu, which is spoken by over 90 million people in India. To bridge this gap, we have created a dataset comprising Electroencephalograph (EEG) signal samples of commonly used Telugu words. Using the Open-BCI Cyton device, EEG samples were captured from volunteers as they pronounced these words. This dataset is a valuable resource for researchers aiming to develop BCI solutions using Machine Learning (ML) classifiers and Deep Learning methods to translate EEG signals into Telugu words. In summary, our dataset facilitates the development of BCI solutions tailored to patients speaking Telugu, contributing to the advancement of assistive technologies for neurodegenerative disorder patients.