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From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi
发布时间:2021-06-30  点击次数:

摘要:In this paper, we present Wi-Mose, the first 3D moving human pose estimation system using commodity WiFi. Previous WiFi-based works have achieved 2D and 3D pose estimation. These solutions either capture poses from one perspective or construct poses of people who are at a fixed point, preventing their wide adoption in daily scenarios. To reconstruct 3D poses of people who move throughout the space, we fuse the amplitude and phase of Channel State Information (CSI) into CSI image which can provide both pose and position information. Besides, we design a neural network to extract features which

论文类型:文章

论文编号:9404194

文献类型:J

ISSN号:Electronic IS

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收录刊物:SCI