Titlebook: Deep Learning for Human Activity Recognition; Second International Xiaoli Li,Min Wu,Le Zhang Conference proceedings 2021 Springer Nature Si

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Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition,r-based datasets of whole-body activities, there are limited data available for acceler-ator-based fine-grained hand activities. In this paper, we propose a purely convolution-based Generative Adversarial Networks (GAN) approach for data augmentation on accelerator-based temporal data of fine-graine

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