Patents by Inventor Xiaomeng Gao

Xiaomeng Gao 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).

  • Patent number: 11647978
    Abstract: The present disclosure describes systems, methods, and devices to infer changes in pulmonary artery pressure in a subject using Doppler radar. A portable, non-invasive device for non-invasively measuring right ventricular cardiac motion that can be used in a subject's home can infer pulmonary artery pressure changes to increase patient compliance and mitigate the likelihood of heart decompensation. A mobile pulmonary artery pressure monitor can be especially useful to patients with congestive heart failure who are elderly, incapacitated, or do not have easy access to a clinic, doctor's office, or hospital.
    Type: Grant
    Filed: November 24, 2020
    Date of Patent: May 16, 2023
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Xiaomeng Gao, Xiaonan Jiang, Xiaoguang Liu, Dennis Matthews, Saul Schaefer
  • Patent number: 11625920
    Abstract: Provided is a method for labeling a segment of a video, in a server. In the method, a multimedia file corresponding to an acting role is obtained. A role feature of the acting role is determined based on the multimedia file. A target video is decoded to obtain a data frame and a playing timestamp corresponding to the data frame, the data frame including at least one of a video frame and an audio frame. In the data frame of the target video, a target data frame that matches the role feature is identified. A segment related to performance of the acting role in the target video is automatically labeled based on a playing timestamp of the target data frame.
    Type: Grant
    Filed: June 5, 2020
    Date of Patent: April 11, 2023
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LTD
    Inventor: Xiaomeng Gao
  • Publication number: 20210378532
    Abstract: Described herein are systems, devices, and methods for non-invasive pregnancy testing. The systems, devices, and methods can be used to provide pregnancy status information of a subject by detecting cardiovascular activity of a fetus in the subject. Subjects can include ruminants, ungulates, and humans.
    Type: Application
    Filed: June 9, 2021
    Publication date: December 9, 2021
    Inventors: Dennis MATTHEWS, Xiaomeng GAO, Xiaonan JIANG, Xiaoguang LIU, Jeremy THOMPSON, Kylie DUNNING, Kenneth PAWLAK, Chris RYMAN
  • Publication number: 20210212657
    Abstract: The present disclosure describes systems, methods, and devices to infer changes in pulmonary artery pressure in a subject using Doppler radar. A portable, non-invasive device for non-invasively measuring right ventricular cardiac motion that can be used in a subject's home can infer pulmonary artery pressure changes to increase patient compliance and mitigate the likelihood of heart decompensation. A mobile pulmonary artery pressure monitor can be especially useful to patients with congestive heart failure who are elderly, incapacitated, or do not have easy access to a clinic, doctor's office, or hospital.
    Type: Application
    Filed: November 24, 2020
    Publication date: July 15, 2021
    Inventors: Xiaomeng GAO, Xiaonan JIANG, Xiaoguang LIU, Dennis MATTHEWS, Saul SCHAEFER
  • Publication number: 20200302179
    Abstract: Provided is a method for labeling a segment of a video, in a server. In the method, a multimedia file corresponding to an acting role is obtained. A role feature of the acting role is determined based on the multimedia file. A target video is decoded to obtain a data frame and a playing timestamp corresponding to the data frame, the data frame including at least one of a video frame and an audio frame. In the data frame of the target video, a target data frame that matches the role feature is identified. A segment related to performance of the acting role in the target video is automatically labeled based on a playing timestamp of the target data frame.
    Type: Application
    Filed: June 5, 2020
    Publication date: September 24, 2020
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Xiaomeng GAO
  • Patent number: 10620307
    Abstract: Systems and methods are disclosed for detecting a presence of a person in an area of coverage using radar. A transmitter can transmit radio signals in a first direction in an area of coverage defined by a wall and a floor. A receiver can receive the transmitted radio signals reflected back from the area of coverage. A signal conditioning circuit can process the received radio signals. One or more hardware processors can be programmed to analyze the processed radio signals and detect a presence of a person in the area of coverage based on the analysis. The analysis of the processed signals can be performed in both time and frequency domain. In addition to radar, an input from an infrared sensor can also be used in conjunction with radar based detection.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: April 14, 2020
    Assignee: University of Hawaii
    Inventors: Ehsan Yavari, Xiaomeng Gao, Olga Boric-Lubecke, Chenyan Song, Pooja Nuti, Shuhei Yamada
  • Publication number: 20170123058
    Abstract: Systems and methods are disclosed for detecting a presence of a person in an area of coverage using radar. A transmitter can transmit radio signals in a first direction in an area of coverage defined by a wall and a floor. A receiver can receive the transmitted radio signals reflected back from the area of coverage. A signal conditioning circuit can process the received radio signals. One or more hardware processors can be programmed to analyze the processed radio signals and detect a presence of a person in the area of coverage based on the analysis. The analysis of the processed signals can be performed in both time and frequency domain. In addition to radar, an input from an infrared sensor can also be used in conjunction with radar based detection.
    Type: Application
    Filed: November 4, 2016
    Publication date: May 4, 2017
    Inventors: Ehsan Yavari, Xiaomeng Gao, Olga Boric-Lubecke, Chenyan Song, Pooja Nuti, Shuhei Yamada