Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...
Abstract: This study proposes an Adaptive Quaterniondriven Gaussian Process Unscented Kalman Filter (AQGPUKF) framework, optimized for nonlinear gait dynamics, motion velocity sensitivity, and ...
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