论文成果
From Signal to Image: Capturing Fine-Grained Human Poses With Commodity Wi-Fi
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发表刊物：IEEE COMMUNICATIONS LETTERS
摘要：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
论文类型：文章
文献类型：J
卷号：24
期号：4
页面范围：802-806
ISSN号：1089-7798
是否译文：否
收录刊物：SCI