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Electronics, Volume 8, Issue 12 (December 2019)
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Cover Story (view full-size image) WiFi-based sensing systems exploit the ambient 5G spectrum for detection and classification of [...] Read more. WiFi-based sensing systems exploit the ambient 5G spectrum for detection and classification of freezing of gait (FOG) episodes in Parkinson’s patients. The WiFi router transmits wireless subcarrier signals which are received by an omnidirectional antenna. The movement of patients in the environment causes variations in amplitudes of wireless channel state information (CSI) at the receiver side. The time varying amplitude information in different subcarriers is transformed to time-frequency signatures of human movements and activities through multiresolution scalograms. A very deep convolutional neural network, VGG-8K, is engineered and utilised for transfer learning with multiresolution scalogram features for detection of FOG.View this paper.