From Signal to Image: Capturing Fine-Grained Human Poses With Commodity Wi-Fi

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Journal:IEEE COMMUNICATIONS LETTERS

Abstract:Human sensing based on commodity Wi-Fi devices has become a promising technique in human tracking, gesture recognition, walking speed monitoring, in-home healthcare, etc. However, past human sensing systems usingWi-Fi capture limited information about humans. Hence in this letter, we try to make commodity Wi-Fi devices act as cameras to directly capture human poses, i.e., fine-grained human skeleton images. We use a synchronized camera to capture human skeletons as annotations for Wi-Fi signals and design a novel neural network to convert Wi-Fi signals into images. We utilize three transceiver

Indexed by:Article

Document Type:J

Volume:24

Issue:4

Page Number:802-806

ISSN No.:1089-7798

Translation or Not:no

Included Journals:SCI