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Publikováno v:
International Journal of Computational Intelligence and Applications. 20
In this work, efficient human activity recognition (HAR) algorithm based on deep learning architecture is proposed to classify activities into seven different classes. In order to learn spatial and temporal features from only 3D skeleton data capture