Abstract: In this study, we propose a graph sequence neural network (GSNN) to accurately decode patterns of motor imagery from electroencephalograms (EEGs) in the presence of distractions. GSNN aims ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training like ranges, land ...

Abstract: Skeleton sequence representation learning has shown great advantages for action recognition due to its promising ability to model human joints and topology. However, the current methods ...