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Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Human activity recognition (HAR) in ubiquitous computing is beginning to adopt deep learning to substitute for well-established analysis techniques that rely on hand-crafted feature extraction and classification techniques.
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