Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface
Dylan Forenzo,
Hao Zhu,
Jenn Shanahan
et al.
Abstract:Brain–computer interfaces (BCI) using electroencephalography provide a noninvasive method for users to interact with external devices without the need for muscle activation. While noninvasive BCIs have the potential to improve the quality of lives of healthy and motor-impaired individuals, they currently have limited applications due to inconsistent performance and low degrees of freedom. In this study, we use deep learning (DL)-based decoders for online continuous pursuit (CP), a complex BCI task requiring th… Show more
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