Patents by Inventor Linqing GUI

Linqing GUI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Static human pose estimation method based on CSI signal angle of arrival estimation
    Patent number: 12481055
    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.
    Type: Grant
    Filed: October 13, 2022
    Date of Patent: November 25, 2025
    Assignee: Nanjing University of Posts and Telecommunications
    Inventors: Fu Xiao, Mingming Xu, Zhengxin Guo, Hai Hu, Linqing Gui, Biyun Sheng, Jian Zhou, Hui Cai
  • STATIC HUMAN POSE ESTIMATION METHOD BASED ON CSI SIGNAL ANGLE OF ARRIVAL ESTIMATION
    Publication number: 20250155567
    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.
    Type: Application
    Filed: October 13, 2022
    Publication date: May 15, 2025
    Applicant: Nanjing University of Posts and Telecommunications
    Inventors: Fu XIAO, Mingming XU, Zhengxin GUO, Hai HU, Linqing GUI, Biyun SHENG, Jian ZHOU, Hui CAI