Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design. (arXiv:2010.12066v2 [cs.LG] UPDATED)

Technology advancements made it easy to measure non-invasive and high-quality
electroencephalograph (EEG) signals from human's brain. Hence, development of
robust and high-performance AI algorithms becomes crucial to properly process
the EEG signals and recognize the patterns, which lead to an appropriate
control signal. Despite the advancements in processing the motor imagery EEG
signals, the healthcare applications, such as emotion detection, are still in
the early stages of AI design. In this paper, we propose a modular framework
for the recognition …

arxiv bci brain design learning