Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method mode identification by fusing the electromyography data with two types from wearable sensors (inertial measurement units), namely linear acceleration and an...

Motivated by the training of Generative Adversarial Networks (GANs), we study methods for solving minimax problems with additional nonsmooth regularizers. We do so employing \emph{monotone operator} theory, in particular \emph{Forward-Backward-Forward (FBF)} method, which avoids known issue limit cycling correcting each update a second gradient evaluation. Furthermore, propose seemingly new sch...

In the study of Kostka numbers and Catalan numbers, Kirillov posed a unimodality conjecture for the rectangular Narayana polynomials. We prove that the rectangular Narayana polynomials have only real zeros, and thereby confirm Kirillov’s unimodality conjecture. By using an equidistribution property between descent numbers and ascent numbers on ballot paths due to Sulanke and a bijection between...