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.

为应对神经退行性疾病患者所面临的挑战，脑机接口（BCI）解决方案正在被开发。然而，许多现有的数据集未能涵盖患者所使用的语言，例如泰卢固语，该语言在印度的使用者超过九千万。为填补这一空白，我们构建了一个包含常用泰卢固语词汇脑电图（EEG）信号样本的数据集。通过使用Open-BCI Cyton设备，我们从志愿者在发音这些词汇时捕捉到了EEG样本。该数据集对于旨在利用机器学习（ML）分类器和深度学习方法将EEG信号翻译为泰卢固语词汇的研究者而言，是一项宝贵的资源。总之，我们的数据集促进了针对说泰卢固语患者的BCI解决方案的开发，从而推动了神经退行性疾病患者辅助技术的发展。