Patents by Inventor Win-Ken BEH

Win-Ken BEH 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).

  • Identity recognition system based on compressed signals and method thereof
    Patent number: 11481675
    Abstract: An identity recognition system based on compressed signals and a method thereof are provided. When a sensing end is in an identification mode, it continuously measures a physiological identification signal of a user having at least one first predetermined length of time, and performs a compression process on the physiological identification signal having at least one first predetermined length of time to generate a first compressed signal. An identification end receives the first compressed signal, obtains first identification information of the first compressed signal in a discrimination subspace according to a principal eigenvector, and recognizes the first identification signal according to a classification model from a learning end to determine that the user is one of multiple subjects.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: October 25, 2022
    Assignee: NATIONAL TAIWAN UNIVERSITY
    Inventors: An-Yeu Wu, Ching-Yao Chou, Yo-Woei Pua, Win-Ken Beh
  • IDENTITY RECOGNITION SYSTEM BASED ON COMPRESSED SIGNALS AND METHOD THEREOF
    Publication number: 20210056460
    Abstract: An identity recognition system based on compressed signals and a method thereof are provided. When a sensing end is in an identification mode, it continuously measures a physiological identification signal of a user having at least one first predetermined length of time, and performs a compression process on the physiological identification signal having at least one first predetermined length of time to generate a first compressed signal. An identification end receives the first compressed signal, obtains first identification information of the first compressed signal in a discrimination subspace according to a principal eigenvector, and recognizes the first identification signal according to a classification model from a learning end to determine that the user is one of multiple subjects.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Inventors: An-Yeu WU, Ching-Yao CHOU, Yo-Woei PUA, Win-Ken BEH