Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization

@article{Liu2019AnalysisAV,
  title={Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization},
  author={Shing-Jiuan Liu and R. Y. Chang and Feng-Tsun Chien},
  journal={IEEE Access},
  year={2019},
  volume={7},
  pages={69379-69392}
}
Device-free Wi-Fi indoor localization has received significant attention as a key enabling technology for many Internet of Things (IoT) applications. Machine learning-based location estimators, such as the deep neural network (DNN), carry proven potential in achieving high-precision localization performance by automatically learning discriminative features from the noisy wireless signal measurements. However, the inner workings of the DNNs are not transparent and not adequately understood… Expand
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