IIST BCI Dataset-2 for Selected Common Marathi Words

Problems of neurodegenerative disorder patients can be solved by developing Brain-Computer Interface (BCI) based solutions. This requires datasets relevant to the languages spoken by patients. For example, Marathi, a prominent language spoken by over 83 million people in India, lacks BCI datasets based on the language for research purposes. To tackle this gap, we have created a dataset comprising Electroencephalograph (EEG) signal samples of selected common Marathi words. EEG samples were captured using the Open-BCI Cyton device for constructing a dataset by volunteers who speak commonly used Marathi words. The dataset contains EEG recordings involving volunteers pronouncing commonly used Marathi words. This dataset helps in building BCI solutions using Machine Learning (ML) classifiers and Deep Learning methods, which can be used to translate EEG signals into Marathi words.