Multi-task Self-Supervised Learning for Human Activity Detection

27 Jul 2019Aaqib SaeedTanir OzcelebiJohan Lukkien

Deep learning methods are successfully used in applications pertaining to ubiquitous computing, health, and well-being. Specifically, the area of human activity recognition (HAR) is primarily transformed by the convolutional and recurrent neural networks, thanks to their ability to learn semantic representations from raw input... (read more)

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