Recognition of workers’ actions from time-series signal images using deep convolutional neural network

Purpose>Construction action recognition is essential to efficiently manage productivity, health and safety risks. These can be achieved by tracking and monitoring construction work. This study aims to examine the performance of a variant of deep convolutional neural networks (CNNs) for recognizin...

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