Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

@article{Zhang2022DeepLI,
  title={Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances},
  author={Shibo Zhang and Yaxuan Li and Shen Zhang and Farzad Shahabi and Stephen Xia and Y. Deng and Nabil Alshurafa},
  journal={Sensors (Basel, Switzerland)},
  year={2022},
  volume={22}
}
Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human–computer interaction, that measure and improve our daily lives. Many of these applications are made possible by leveraging the rich collection of low-power sensors found in many mobile and wearable devices to perform human activity recognition (HAR). Recently, deep learning has greatly pushed the boundaries of HAR on mobile and wearable devices. This paper systematically… 
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