Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. (arXiv:2201.07891v1 [eess.SP])

Several techniques have been proposed to address the problem of recognizing
activities of daily living from signals. Deep learning techniques applied to
inertial signals have proven to be effective, achieving significant
classification accuracy. Recently, research in human activity recognition (HAR)
models has been almost totally model-centric. It has been proven that the
number of training samples and their quality are critical for obtaining deep
learning models that both perform well independently of their architecture, and
that are more robust to …

arxiv datasets human support