Patents by Inventor Eric Cooper Larson

Eric Cooper Larson 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).

  • Publication number: 20240036153
    Abstract: Systems and Methods for RF Emitter Location with automatic UAS array reconfiguration. The system includes at least a first emitter of electromagnet emissions. There is an array controller and, in some situations, at least one array follower. The controller(s) each have a receiver to receive signals from the first emitter. The controller calculates the location of the first emitter based upon communications with the first emitter and any array follower.
    Type: Application
    Filed: July 26, 2023
    Publication date: February 1, 2024
    Inventors: Mitchell Aaron THORNTON, Eric Cooper LARSON, Mark Anthony BIGHAM
  • Publication number: 20200029929
    Abstract: Examples of the present invention utilize principal component analysis (PCA) to detect cough sounds in an audio stream. Comparison of all or portions of the audio stream with a cough model may be conducted. The cough model may include a number of basis vectors may be based on initial portions of known coughs. The initial portions may be non-user specific, and accordingly the cough model may be used to detect coughs across individuals. Moreover, examples of the present invention may reconstruct the cough sounds from stored features such that the cough sounds are reconstructed but the reconstruction techniques used may be insufficient to reconstruct speech sounds that may also have been recorded, which may increase user privacy.
    Type: Application
    Filed: September 11, 2019
    Publication date: January 30, 2020
    Applicant: University of Washington
    Inventors: Shwetak N. Patel, Eric Cooper Larson, Tien-Jui Lee, Shih-Yen Liu
  • Patent number: 10448920
    Abstract: Examples of the present invention utilize principal component analysis (PCA) to detect cough sounds in an audio stream. Comparison of all or portions of the audio stream with a cough model may be conducted. The cough model may include a number of basis vectors may be based on initial portions of known coughs. The initial portions may be non-user specific, and accordingly the cough model may be used to detect coughs across individuals. Moreover, examples of the present invention may reconstruct the cough sounds from stored features such that the cough sounds are reconstructed but the reconstruction techniques used may be insufficient to reconstruct speech sounds that may also have been recorded, which may increase user privacy.
    Type: Grant
    Filed: September 14, 2012
    Date of Patent: October 22, 2019
    Assignee: University of Washington
    Inventors: Shwetak N. Patel, Eric Cooper Larson, Tien-Jui Lee, Shih-Yen Liu
  • Publication number: 20140336537
    Abstract: Examples of the present invention utilize principal component analysis (PCA) to detect cough sounds in an audio stream. Comparison of all or portions of the audio stream with a cough model may be conducted. The cough model may include a number of basis vectors may be based on initial portions of known coughs. The initial portions may be non-user specific, and accordingly the cough model may be used to detect coughs across individuals. Moreover, examples of the present invention may reconstruct the cough sounds from stored features such that the cough sounds are reconstructed but the reconstruction techniques used may be insufficient to reconstruct speech sounds that may also have been recorded, which may increase user privacy.
    Type: Application
    Filed: September 14, 2012
    Publication date: November 13, 2014
    Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION
    Inventors: Shwetak N. Patel, Eric Cooper Larson, Tien-Jui Lee, Shih-Yen Liu