From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi

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Abstract: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

Indexed by:Article

Document Code:9404194

Document Type:J

ISSN No.:Electronic IS

Translation or Not:no

Included Journals:SCI