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DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example deformations to new shapes while preserving the plausibility of the …

Semg-based tremor severity evaluation for parkinson's disease using a light-weight cnn

We propose a deep learning based approach for quantifying the tremor severity of Parkinson’s Disease (PD) based on surface electromyography (sEMG). We design the S-Net, a light-weight and computational efficient convolutional neural network (CNN) …