Some of the most widely adopted paradigms are P300 4, steady-state visual evoked potentials (SSVP) 5 and motor imagery 6. In BCI applications, neural activity is typically measured by electroencephalography (EEG), since it is a non-invasive technique, the measuring devices can be easily portable and the EEG signals have high time resolution 1, 2.ĭifferent paradigms have been used in order to establish communication between a user and a device. A BCI provides an alternative way of interaction to such individuals, by decoding the neural activity and transforming it into control commands for triggering wheelchairs, prosthesis, spellers or any other virtual interface device 2, 3. The main purpose of this work is to provide the scientific community with an open-access multiclass electroencephalography database of inner speech commands that could be used for better understanding of the related brain mechanisms.īrain-Computer Interfaces (BCIs) are a promising technology for improving the quality of life of people who have lost the capability to either communicate or interact with their environment 1. A ten-participant dataset acquired under this and two others related paradigms, recorded with an acquisition system of 136 channels, is presented. Unfortunately, the lack of publicly available electroencephalography datasets, restricts the development of new techniques for inner speech recognition. This paradigm, called inner speech, raises the possibility of executing an order just by thinking about it, allowing a “natural” way of controlling external devices. ![]() Different paradigms have been used to enable the human-machine interaction and the last few years have broad a mark increase in the interest for interpreting and characterizing the “inner voice” phenomenon. Recent advances in artificial intelligence led to significant improvements in the automatic detection of brain patterns, allowing increasingly faster, more reliable and accessible Brain-Computer Interfaces. ![]() Surface electroencephalography is a standard and noninvasive way to measure electrical brain activity.
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