In this work, we present Winect, a 3D human pose tracking system for free-form activity using commodity WiFi devices. Our system tracks free-form activity by estimating a 3D skeleton pose that consists of a set of joints of the human body. In particular, we combine signal separation and ...
3D human pose estimation aims to reconstruct the body configuration of all persons in a scene. Finding solutions for this task is essential for numerous applications ranging from human–robot interaction[1], animation[2], gaming, action recognition[3], rehabilitation assessments, surveillance systems[...
More information:Yili Ren, Jie Yang, 3D human pose estimation for free-form activity using WiFi signals. arXiv:2110.08314v1 [cs.CV],arxiv.org/abs/2110.08314 © 2021 Science X Network
However, one of the biggest strengths of RF-vision, i.e., occlusion robustness, has only been lightly touched by RF-Pose [52], for coarse- grained human pose estimation trained only in LoS domain and used directly in obstructed scenarios without account-...
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In some embodiments, for example, in embodiments in which the computer system 1400 performs all functions automatically without human input, one or more of external input device 1412, display device 1414, and pointing device 1416 is omitted. In the illustrated embodiment, special purpose hardware, ...
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Although normalization is a well-known concept, it has not been consistently used in 3D human pose estimation, especially with the 3D skeletons; We conducted cross-dataset experiments using the method of Martinez et al. [26] (Section 5), showing the negative effect of dataset biases on ...
We present an overview of the HAR problem based on the 3D human pose as the input, with four types of DNN to perform the estimation: RNN-based, CNN-based, GCN-based, and Hybrid–DNN-based. A full survey of HAR based on the 3D human pose is elaborated in detail from methods, dataset...
Section 3: We provide a variety of technologies, with a focus on wireless technologies that may be utilized for 3D indoor localization such as WiFi, Bluetooth, UWB, mmWave, visible light and sound-based technologies such as acoustic signals and ultrasound. We analyze the advantages and disadvantag...