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Found 2 papers, 1 papers with code
Fidelitous Augmentation of Human Accelerometric Data for Deep Learning
This motivates for our work, the objective which is to preserve the following features in a synthesized TS: its fundamental statistical characteristics and important time domain features like its general shape and prominent transients.
FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface
With this design, we compare FBCNet with state-of-the-art (SOTA) BCI algorithm on four MI datasets: The BCI competition IV dataset 2a (BCIC-IV-2a), the OpenBMI dataset, and two large datasets from chronic stroke patients.
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