The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 25, 2025

Filed:

Oct. 13, 2022
Applicant:

Nanjing University of Posts and Telecommunications, Jiangsu, CN;

Inventors:

Fu Xiao, Jiangsu, CN;

Mingming Xu, Jiangsu, CN;

Zhengxin Guo, Jiangsu, CN;

Hai Hu, Jiangsu, CN;

Linqing Gui, Jiangsu, CN;

Biyun Sheng, Jiangsu, CN;

Jian Zhou, Jiangsu, CN;

Hui Cai, Jiangsu, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 13/89 (2006.01); G01S 5/02 (2010.01); G01S 13/87 (2006.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G01S 13/89 (2013.01); G01S 5/0252 (2013.01); G01S 13/87 (2013.01); G06T 7/70 (2017.01); G06T 2207/30196 (2013.01);
Abstract

A static human pose estimation method based on channel state information (CSI) signal angle of arrival (AoA) estimation is disclosed. A signal angle of arrival in a sensing area is estimated from CSI and an image is constructed, and a human pose is estimated from the image using a teacher-student network. The method comprises the following specific steps: CSI signals in a sensing area are collected at different heights using a receive antenna column with a moving track. Two-dimensional AoA image features are constructed: CSI information is converted into one-dimensional AoA data by using a MUSIC algorithm, and the one-dimensional AoA data of different heights are combined into a two-dimensional AoA image, and an environmental denoise algorithm is designed. A teacher-student network model is constructed, and a student network based on the two-dimensional AoA image is supervised, wherein the student network model can independently estimate a human pose from CSI.


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